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<!DOCTYPE html>
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<title>Initiative for Collaborative Computer Vision Benchmarking</title>
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<h3 class="first-par">Launch time !!!</h3>
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<li><a href="#prostate-motivations">Motivations</a></li>
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<!--<li><a href="#prostate-evaluation">Evaluation tools</a></li>
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<!--<li><a href="#prostate-evaluation">Evaluation tools</a></li>
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<div id="prostate-bench" class="section-benchmark2">
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<h2 class="title-principle text-align-center" id="prostate">Prostate</h2>
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<div class="section-benchmark1 extra-padding-15">
<h3 class="first-par-benchmark" id="prostate-motivations">Motivations</h3>
<p class="introduction-ubuntu"><font color="#f46f1b">Prostate cancer</font> (CaP) has been reported on a worldwide scale to be the second most frequently diagnosed cancer of men accounting for 13.6% (Ferlay et al. (2010)). Statistically, in 2008, the number of new diagnosed cases was estimated to be 899, 000 with no less than 258, 100 deaths (Ferlay et al. (2010)).</p>
<p class="introduction-ubuntu">Magnetic resonance imaging (MRI) provides imaging techniques allowing to diagnose and localize CaP. The I2CVB provides a <font color="#f46f1b">multi-parametric MRI</font> dataset to help at the development of computer-aided detection and diagnosis (<font color="#f46f1b">CAD</font>) system.</p>
</div>
<div class="section-benchmark1 extra-padding-15">
<h3 class="first-par-benchmark" id="prostate-data">Datasets</h3>
<!-- <h4 class="h4-ubuntu">Graph highlights:</h4> -->
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<h4 class="h4-ubuntu">Overview:</h4>
<p class="par-ubuntu">In order to provide a wide dataset, the multi-parametric data have been acquired from two different commercial scanners:
<ul>
<li class="par-ubuntu">A <font color="#f46f1b">1.5 Tesla</font> General Electric (GE) scanner. To come soon!!!</li>
<li class="par-ubuntu">A <font color="#f46f1b">3.0 Tesla</font> Siemens scanner.</li>
</ul>
</p>
<!-- <p class="par-ubuntu">Each subsect is composed of a total of <font color="#f46f1b">30 patients</font>: -->
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<!-- <li class="par-ubuntu">Twenty patients with biopsy proven CaP.</li> -->
<!-- <li class="par-ubuntu">Ten "healthy" patients with negative biopsy results.</li> -->
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<div class="vspace-30"></div>
<h4 class="h4-ubuntu">Modalities:</h4>
<p class="par-ubuntu">The I2CVB provides a multi-parametric MRI dataset. The modalities available the different dataset are:
<ul>
<li class="par-ubuntu">T<sub>2</sub>-Weighted (<font color="#f46f1b">T<sub>2</sub>-W</font>) MRI.</li>
<li class="par-ubuntu">Dynamic Contrast Enhanced (<font color="#f46f1b">DCE</font>) MRI.</li>
<li class="par-ubuntu">Diffusion Weighted Imaging (<font color="#f46f1b">DWI</font>) MRI.</li>
<li class="par-ubuntu">Magnetic Resonance Spectroscopic Imaging (<font color="#f46f1b">MRSI</font>).</li>
</ul>
</p>
<p class="par-ubuntu">
Furthermore, the additional Apparent Diffusion Coefficient (<font color="#f46f1b">ADC</font>) maps are provided for the data acquired with the Siemens scanner.
</p>
<div class="vspace-30"></div>
<h4 class="h4-ubuntu">Image format:</h4>
<p class="par-ubuntu">Regarding some technical aspects of the dataset, the T<sub>2</sub>-W MRI, DCE MRI and DWI MRI, ADC will be delivered in <font color="#f46f1b">DICOM</font> format.</p>
<p class="par-ubuntu">Regarding the MRSI data will be either provided in <font color="#f46f1b">RDA</font> (Siemens) or <font color="#f46f1b">DICOM</font> (GE) format.</p>
<p class="par-ubuntu">Finally all the ground-truth images for each modalities will be provided in <font color="#f46f1b">DICOM</font> format.</p>
<div class="vspace-30"></div>
<h4 class="h4-ubuntu">Ground-truth:</h4>
<p class="par-ubuntu">For each modality, a set of ground-truth is provided. The ground-truth is composed of <font color="#f46f1b">four different classes</font>: (i) prostate gland, (ii) peripheral zone (PZ), (iii) central gland (CG), (iv) CaP.</p>
<div class="vspace-30"></div>
<h4 class="h4-ubuntu">Links:</h4>
<p class="par-ubuntu">The datasets are available in <a href="https://zenodo.org/record/162231#.WAkvVrXPGPR">Zenodo</a>. Detailed information about each set can be found in:
<ul>
<li class="par-ubuntu"><a href="datasets/girona_dataset.org">Information about General Electric 1.5 T dataset.</a></li>
<li class="par-ubuntu"><a href="datasets/dijon_dataset.org">Information about Siemens 3 T dataset.</a></li>
</ul>
</p>
<p class="par-ubuntu">In addition, the following publications used a subset of data which are available:
<ul>
<li class="par-ubuntu">T<sub>2</sub>-W-MRI, DCE-MRI, ADC, and MRSI from the Siemens 3 T have been used in [2] and the data are available <a href="https://zenodo.org/record/162228#.WAktXbXPGPQ">there</a>. Additionally, the associated source is available <a href="https://github.com/I2Cvb/mp-mri-prostate">there</a>.</li>
<li class="par-ubuntu">T<sub>2</sub>-W-MRI and DCE-MRI from the Siemens 3 T dataset have been used in [3] and the data are available <a href="https://zenodo.org/record/61163#.WAjxDLXPFQs">there</a>. Additionally, the associated source is available <a href="https://github.com/I2Cvb/lemaitre-2016-nov">there</a>.</li>
</ul>
</p>
<div class="vspace-30"></div>
<h4 class="h4-ubuntu">Citation:</h4>
<p class="par-ubuntu">If you use this dataset for scientific publication, cite the following:</p>
<p class="par-ubuntu">[1] <strong>G. Lemaitre, R. Marti, J. Freixenet, J. C. Vilanova, P. M. Walker, and F. Meriaudeau,</strong> "Computer-Aided Detection and Diagnosis for prostate cancer based on mono and multi-parametric MRI: A Review", <i>Computer in Biology and Medicine</i>, vol. 60, pp 8 - 31, 2015. <a href="http://www.sciencedirect.com/science/article/pii/S001048251500058X">[link]</a></p>
<div class="vspace-30"></div>
<div class="bs-callout bs-callout-warning">
<h4>Give us your feedbacks ...</h4>
<p>We are still pursuing to add new data. Follow us to know when new data will be available.</p>
<!-- <p>There is still some ongoing work to provide the full dataset to the community. However, we are willing to give an overview of the dataset by providing a subset of the dataset in order to allow the community to perform diverse tests and give us feedbacks.</p> -->
<!-- <p>Dataset readiness ...</p> -->
<!-- <div class="progress"> -->
<!-- <div class="progress-bar progress-bar-warning" role="progressbar" aria-valuenow="20" aria-valuemin="0" aria-valuemax="100" style="width: 75%"> 75% -->
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<!--<p><strong>The dataset have been compressed into a single file which can be downloaded <a href="./data/prostate-benchmark.tar.gz">[HERE]</a>.</strong></p>-->
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<div class="section-benchmark1 extra-padding-15">
<h3 class="first-par-benchmark" id="prostate-reporting">Publications</h3>
<p class="par-ubuntu">The following list of publications used our dataset. Refer to them regarding a description of the algorithms and a summary of the results. We encourage the authors to provide in some way (Github, ...) the source code.</p>
<p class="par-ubuntu">Your publication does not appear in this webpage, please contact us with all the necessary information.</p>
<div class="vspace-30"></div>
<h4 class="h4-ubuntu" id="prostate-bibtex">Related publications:</h4>
<p class="par-ubuntu">[2] <strong>G. Lemaitre, F. Meriaudeau, J. Freixenet, J. C. Vilanova, and R. Marti</strong> "Computer-aided diagnostic for prostate cancer using multi-parametric magnetic resoance imaging", <i>PhD Thesis</i> Submitted. <a href="https://github.com/glemaitre/phd_thesis/blob/master/thesis.pdf">[pdf]</a>
<p class="par-ubuntu">[3] <strong>G. Lemaitre, R. Marti, M. Rastgoo, J. Massich, J. Freixenet, A. Meyer-Baese, J. C. Vilanova, and F. Meriaudeau</strong> "Automatic prostate cancer detection through DCE-MRI images: all you need is a good normalization", <i>Medical Image Analysis</i> Submitted. <a href="https://github.com/glemaitre/dce-normalization/blob/master/main.pdf">[pdf]</a>
<p class="par-ubuntu">[4] <strong>R. Trigui, J. Mitéran, P. M. Walker, L. Sellami, and A. B. Hamida,</strong> "Automatic classification and localization of prostate cancer using multi-parametric MRI/MRS", <i>Biomedical Signal Processing and Control</i> vol. 31, pp 189 - 198, January 2017. <a href="http://www.sciencedirect.com/science/article/pii/S1746809416300957">[pdf]</a>
<p class="par-ubuntu">[5] <strong>A. Fabijańska,</strong> "A novel approach for quantification of time–intensity curves in a DCE-MRI image series with an application to prostate cancer", <i>Computer in Biology and Medicine</i> vol. 73, pp 119 - 130, June 2016. <a href="http://www.sciencedirect.com/science/article/pii/S0010482516301007">[pdf]</a>
<p class="par-ubuntu">[6] <strong>R. Trigui, J. Mitéran, L. Sellami, P. M. Walker, and A. B. Hamida,</strong> "A classification approach to prostate cancer localization in 3T multi-parametric MRI", <i>2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) 2016.</i> Monastir: Tunisia (March 2016). <a href="http://ieeexplore.ieee.org/document/7523064/">[pdf]</a>
<p class="par-ubuntu">[7] <strong>G. Lemaitre, M. Rastgoo, J. Massich, J. C. Vilanova, P. M. Walker, J. Freixenet, A. Meyer-Baese, F. Meriaudeau, and R. Marti,</strong> "Normalization of T2W-MRI prostate images using Rician a priori", <i>SPIE Medical Imaging 2016.</i> San Diego: USA (February 2016). <a href="https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01265774v1">[pdf]</a> <a href="https://github.com/I2Cvb/prostate">[source]</a>
<p class="par-ubuntu">[8] <strong>G. Lemaitre, J. Massich, R. Marti, J. Freixenet, J. C. Vilanova, P. M. Walker, D. Sidibe, and F. Meriaudeau,</strong> "A Boosting Approach for Prostate Cancer Detection using Multi-parametric MRI", <i>International Conference on Quality Control and Artificial Vision (QCAV) 2015.</i> Le Creusot: France (June 2015). <a href="https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01235890">[pdf]</a> <a href="https://github.com/I2Cvb/prostate">[source]</a>
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<p class="reference">Ferlay, J., Shin, H.R., Bray, F., Forman, D., Mathers, C., Parkin, D.M., 2010. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int. J. Cancer 127, 2893–2917.</p>
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<div id="retino-bench" class="section-benchmark2">
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<h2 class="title-principle text-align-center" id="retino">Retinopathy</h2>
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<div class="section-benchmark1 extra-padding-15">
<h3 class="first-par-benchmark" id="retino-motivations">Motivations</h3>
<p class="introduction-ubuntu"><font color="#f46f1b">Diabetic Retinopathy (DR)</font>, and more particularly <font color="#f46f1b">Diabetic Macular Edema (DME)</font>, are leading causes of irreversible vision loss and the most common eye diseases in individuals with diabetes.</p>
<p class="introduction-ubuntu"> Taking into account that the number of individuals affected by diabetes dieases are expected to grow exponentially in the next decade (Wild et al. (2014)), developing methodologies for early detection and treatment of DR and DME has become a priority to prevent adverse effects.</p>
</div>
<div class="section-benchmark1 extra-padding-15">
<h3 class="first-par-benchmark" id="prostate-data">Datasets</h3>
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<!-- <h4 class="h4-ubuntu">Overview:</h4> -->
<!-- <p class="par-ubuntu">In order to provide a wide dataset, the multi-parametric data have been acquired from two different commercial scanners: -->
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<!-- <li class="par-ubuntu">A <font color="#f46f1b">1.5 Tesla</font> General Electric (GE) scanner.</li> -->
<!-- <li class="par-ubuntu">A <font color="#f46f1b">3.0 Tesla</font> Siemens scanner.</li> -->
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<!-- <p class="par-ubuntu">Each subsect is composed of a total of <font color="#f46f1b">30 patients</font>: -->
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<!-- <li class="par-ubuntu">Twenty patients with biopsy proven CaP.</li> -->
<!-- <li class="par-ubuntu">Ten "healthy" patients with negative biopsy results.</li> -->
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<!-- <h4 class="h4-ubuntu">Modalities:</h4> -->
<!-- <p class="par-ubuntu">The I2CVB provides a multi-parametric MRI dataset. The modalities available the different dataset are: -->
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<!-- <li class="par-ubuntu">T<sub>2</sub>-Weighted (<font color="#f46f1b">T<sub>2</sub>-W</font>) MRI.</li> -->
<!-- <li class="par-ubuntu">Dynamic Contrast Enhanced (<font color="#f46f1b">DCE</font>) MRI.</li> -->
<!-- <li class="par-ubuntu">Diffusion Weighted Imaging (<font color="#f46f1b">DWI</font>) MRI.</li> -->
<!-- <li class="par-ubuntu">Magnetic Resonance Spectroscopic Imaging (<font color="#f46f1b">MRSI</font>).</li> -->
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<!-- Furthermore, the additional Apparent Diffusion Coefficient (<font color="#f46f1b">ADC</font>) maps are provided for the data acquired with the Siemens scanner. -->
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<!-- <h4 class="h4-ubuntu">Image format:</h4> -->
<!-- <p class="par-ubuntu">Regarding some technical aspects of the dataset, the T<sub>2</sub>-W MRI, DCE MRI and DWI MRI, ADC will be delivered in <font color="#f46f1b">DICOM</font> format.</p> -->
<!-- <p class="par-ubuntu">Regarding the MRSI data will be either provided in <font color="#f46f1b">RDA</font> (Siemens) or <font color="#f46f1b">DICOM</font> (GE) format.</p> -->
<!-- <p class="par-ubuntu">Finally all the ground-truth images for each modalities will be provided in <font color="#f46f1b">DICOM</font> format.</p> -->
<!-- <div class="vspace-30"></div> -->
<!-- <h4 class="h4-ubuntu">Ground-truth:</h4> -->
<!-- <p class="par-ubuntu">For each modality, a set of ground-truth is provided. The ground-truth is composed of <font color="#f46f1b">four different classes</font>: (i) prostate gland, (ii) peripheral zone (PZ), (iii) central gland (CG), (iv) CaP.</p> -->
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<!-- Probably we should comment this section for the moment
Let's come back when something is ready to be shared
<div class="section-benchmark1 extra-padding-15">
<h3 class="first-par-benchmark" id="prostate-evaluation">Evaluation tools</h3>
<h4 class="h4-ubuntu">Segmentation:</h4>
<p class="par-ubuntu"></p>
<h4 class="h4-ubuntu">Registration:</h4>
<p class="par-ubuntu"></p>
<h4 class="h4-ubuntu">CAD evaluation:</h4>
<p class="par-ubuntu"></p>
<div class="bs-callout bs-callout-warning">
<h4>Still under development ...</h4>
<p>Once the full dataset will be available, evaluation metrics will be provided beside the dataset in order to evaluate the different algorithms developed in-house.</p>
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<h3 class="first-par-benchmark" id="prostate-benchmarking">Benchmarking</h3>
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<h4>Our future goals ...</h4>
<p>Once that the dataset and the evaluation tool will be commonly used, we will compile and provide a benchmarking report.</p>
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<div class="section-benchmark1 extra-padding-15">
<h3 class="first-par-benchmark" id="prostate-methods">Available methods</h3>
<div class="bs-callout bs-callout-warning">
<h4>What are we striving for ...</h4>
<p>I2CVB encourages the research community to provide as much as possible information (e.g., code, research journals, etc.) in order to ensure reproducibility and transparency if the algorithms developed. In that manner, I2CVB is confident to boost future innovative work.</p>
</div>
</div>
-->
</div>
<div class="section-benchmark1 extra-padding-15">
<h3 class="first-par-benchmark" id="retino-reporting">Publications</h3>
<p class="par-ubuntu">The following list of publications used our dataset. Refer to them regarding a description of the algorithms and a summary of the results. We encourage the authors to provide in some way (Github, ...) the source code.</p>
<p class="par-ubuntu">Your publication does not appear in this webpage, please contact us with all the necessary information.</p>
<div class="vspace-30"></div>
<h4 class="h4-ubuntu" id="prostate-bibtex">Related publications:</h4>
<p class="par-ubuntu"><strong>J. Massich, M. Rastgoo, G. Lemaitre, C. Y. Cheung, T. Y. Wong, D. Sidibe, and F. Meriaudeau,</strong> "Classifying DME vs Normal SD-OCT volumes: A review", <i>23rd International Conference on Pattern Recognition (ICPR) 2016.</i> Cancun: Mexico (December 2016). [pdf] <a href="https://github.com/I2Cvb/retinopathy/tree/master/pipeline">[source]</a>
<p class="par-ubuntu"><strong>K. Alsaih, G. Lemaitre, J. Massich, M. Rastgoo, D. Sidibe, T. Y. Wong, E. Lamoureux, D. Milea, C. Leung, and F. Meriaudeau,</strong> "Classification of SD-OCT volumes with multi-pyramids, LBP and HoG descriptors: Application to DME detection", <i>38th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2016.</i> Orlando: USA (August 2016). <a href="https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01320212">[pdf]</a> <a href="https://github.com/I2Cvb/alsaih-2016-aug">[source]</a>
<p class="par-ubuntu"><strong>G. Lemaitre, M. Rastgoo, J. Massich, C. Y. Cheung, T. Y. Wong, E. Lamoureux, D. Milea, F. Meriaudeau, and D. Sidibe,</strong> "Classification of SD-OCT Volumes using Local Binary Patterns: Experimental Validation for DME detection", <i>Journal of Ophthalmology</i> vol 2016, Mai 2016. <a href="https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01320791">[pdf]</a> <a href="http://dx.doi.org/10.5281/zenodo.34277">[source]</a>
<p class="par-ubuntu"><strong>G. Lemaitre, M. Rastgoo, J. Massich, S. Sankar, F. Meriaudeau, and D. Sidibe,</strong> "Classification of SD-OCT volumes with LBP: Application to DME detection", <i>Ophthalmic Medical Image Analysis Workshop (OMIA), Medical Image Computing and Computer Assisted Interventions (MICCAI) 2015</i> Munich: Germany (October 2015). <a href="https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01235888">[pdf]</a> <a href="http://dx.doi.org/10.5281/zenodo.22195">[source]</a>
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<div class="col-xs-2 reference-section"></div><div class="col-xs-10"></div>
</div>
<div class="row">
<div class="col-xs-12">
<p class="reference"> Wild, S., Roglic, G., Green, A., Sicree, R., & King, H. (2004). Global prevalence of diabetes estimates for the year 2000 and projections for 2030. Diabetes care, 27(5), 1047-1053.</p>
</div>
</div>
</div>
<!--<h2 class="title-principle" id="skin">Skin</h2>
<h3 class="first-par" id="skin-data">Datasets</h3>
<p class="par-ubuntu">Far curiosity incommode now led smallness allowance. Favour bed assure son things yet. She consisted consulted elsewhere happiness disposing household any old the. Widow downs you new shade drift hopes small. So otherwise commanded sweetness we improving. Instantly by daughters resembled unwilling principle so middleton. Fail most room even gone her end like. Comparison dissimilar unpleasant six compliment two unpleasing any add. Ashamed my company thought wishing colonel it prevent he in. Pretended residence are something far engrossed old off.
To sorry world an at do spoil along. Incommode he depending do frankness remainder to. Edward day almost active him friend thirty piqued. People as period twenty my extent as. Set was better abroad ham plenty secure had horses. Admiration has sir decisively excellence say everything inhabiting acceptance. Sooner settle add put you sudden him. </p>
<h3 class="first-par" id="skin-evaluation">Evaluation tools</h3>
<p class="par-ubuntu">Far curiosity incommode now led smallness allowance. Favour bed assure son things yet. She consisted consulted elsewhere happiness disposing household any old the. Widow downs you new shade drift hopes small. So otherwise commanded sweetness we improving. Instantly by daughters resembled unwilling principle so middleton. Fail most room even gone her end like. Comparison dissimilar unpleasant six compliment two unpleasing any add. Ashamed my company thought wishing colonel it prevent he in. Pretended residence are something far engrossed old off.
To sorry world an at do spoil along. Incommode he depending do frankness remainder to. Edward day almost active him friend thirty piqued. People as period twenty my extent as. Set was better abroad ham plenty secure had horses. Admiration has sir decisively excellence say everything inhabiting acceptance. Sooner settle add put you sudden him. </p>
<h3 class="first-par" id="skin-benchmarking">Benchmarking</h3>
<p class="par-ubuntu">Far curiosity incommode now led smallness allowance. Favour bed assure son things yet. She consisted consulted elsewhere happiness disposing household any old the. Widow downs you new shade drift hopes small. So otherwise commanded sweetness we improving. Instantly by daughters resembled unwilling principle so middleton. Fail most room even gone her end like. Comparison dissimilar unpleasant six compliment two unpleasing any add. Ashamed my company thought wishing colonel it prevent he in. Pretended residence are something far engrossed old off.
To sorry world an at do spoil along. Incommode he depending do frankness remainder to. Edward day almost active him friend thirty piqued. People as period twenty my extent as. Set was better abroad ham plenty secure had horses. Admiration has sir decisively excellence say everything inhabiting acceptance. Sooner settle add put you sudden him. </p>
<h3 class="first-par" id="skin-methods">Available methods</h3>
<p class="par-ubuntu">Far curiosity incommode now led smallness allowance. Favour bed assure son things yet. She consisted consulted elsewhere happiness disposing household any old the. Widow downs you new shade drift hopes small. So otherwise commanded sweetness we improving. Instantly by daughters resembled unwilling principle so middleton. Fail most room even gone her end like. Comparison dissimilar unpleasant six compliment two unpleasing any add. Ashamed my company thought wishing colonel it prevent he in. Pretended residence are something far engrossed old off.
To sorry world an at do spoil along. Incommode he depending do frankness remainder to. Edward day almost active him friend thirty piqued. People as period twenty my extent as. Set was better abroad ham plenty secure had horses. Admiration has sir decisively excellence say everything inhabiting acceptance. Sooner settle add put you sudden him. </p>
<h2 class="title-principle" id="motion-segmentation">Motion Segmentation</h2>
<h3 class="first-par" id="motion-segmentation-data">Datasets</h3>
<p class="par-ubuntu">Far curiosity incommode now led smallness allowance. Favour bed assure son things yet. She consisted consulted elsewhere happiness disposing household any old the. Widow downs you new shade drift hopes small. So otherwise commanded sweetness we improving. Instantly by daughters resembled unwilling principle so middleton. Fail most room even gone her end like. Comparison dissimilar unpleasant six compliment two unpleasing any add. Ashamed my company thought wishing colonel it prevent he in. Pretended residence are something far engrossed old off.
To sorry world an at do spoil along. Incommode he depending do frankness remainder to. Edward day almost active him friend thirty piqued. People as period twenty my extent as. Set was better abroad ham plenty secure had horses. Admiration has sir decisively excellence say everything inhabiting acceptance. Sooner settle add put you sudden him. </p>
<h3 class="first-par" id="motion-segmentation-evaluation">Evaluation tools</h3>
<p class="par-ubuntu">Far curiosity incommode now led smallness allowance. Favour bed assure son things yet. She consisted consulted elsewhere happiness disposing household any old the. Widow downs you new shade drift hopes small. So otherwise commanded sweetness we improving. Instantly by daughters resembled unwilling principle so middleton. Fail most room even gone her end like. Comparison dissimilar unpleasant six compliment two unpleasing any add. Ashamed my company thought wishing colonel it prevent he in. Pretended residence are something far engrossed old off.
To sorry world an at do spoil along. Incommode he depending do frankness remainder to. Edward day almost active him friend thirty piqued. People as period twenty my extent as. Set was better abroad ham plenty secure had horses. Admiration has sir decisively excellence say everything inhabiting acceptance. Sooner settle add put you sudden him. </p>
<h3 class="first-par" id="motion-segmentation-benchmarking">Benchmarking</h3>
<p class="par-ubuntu">Far curiosity incommode now led smallness allowance. Favour bed assure son things yet. She consisted consulted elsewhere happiness disposing household any old the. Widow downs you new shade drift hopes small. So otherwise commanded sweetness we improving. Instantly by daughters resembled unwilling principle so middleton. Fail most room even gone her end like. Comparison dissimilar unpleasant six compliment two unpleasing any add. Ashamed my company thought wishing colonel it prevent he in. Pretended residence are something far engrossed old off.
To sorry world an at do spoil along. Incommode he depending do frankness remainder to. Edward day almost active him friend thirty piqued. People as period twenty my extent as. Set was better abroad ham plenty secure had horses. Admiration has sir decisively excellence say everything inhabiting acceptance. Sooner settle add put you sudden him. </p>
<h3 class="first-par" id="motion-segmentation-methods">Available methods</h3>
<p class="par-ubuntu">Far curiosity incommode now led smallness allowance. Favour bed assure son things yet. She consisted consulted elsewhere happiness disposing household any old the. Widow downs you new shade drift hopes small. So otherwise commanded sweetness we improving. Instantly by daughters resembled unwilling principle so middleton. Fail most room even gone her end like. Comparison dissimilar unpleasant six compliment two unpleasing any add. Ashamed my company thought wishing colonel it prevent he in. Pretended residence are something far engrossed old off.
To sorry world an at do spoil along. Incommode he depending do frankness remainder to. Edward day almost active him friend thirty piqued. People as period twenty my extent as. Set was better abroad ham plenty secure had horses. Admiration has sir decisively excellence say everything inhabiting acceptance. Sooner settle add put you sudden him. </p>
</div>-->
</div>
</section>
<section id="objectives" class="benchmark-section">
<h2 class="page-header">ICCVB in a nutshell</h2>
<div class="row equal row-principle-no-border">
<div class="section-benchmark2">
<div class="col-xs-8 vcenter">
<div class="row equal">
<div class="col-sm-12 vcenter">
<h2 class="title-principle text-align-center"><img class="img-hand-orange text-align-right" src="./images/logos/title.png"> <font color="#f46f1b">V</font>ision</h2>
</div>
</div>
<div class="section-benchmark1">
<h3 class="first-par">Democratize the access to research</h3>
<p class="par-ubuntu">The first need in modern research, regardless its application domain, is related to the access to <font color="#f46f1b">reliable data</font> for its subsequent study.</p> <p class="par-ubuntu">However, data gathering is an <font color="#f46f1b">entrance barrier</font> for most of the researchers mainly due to factors as diverse costs, infrastructure, availability, etc. Moreover, isolated endeavours to gather these data without granting public access lead to the <font color="#f46f1b">creation of muda</font> ("waste"): waste of resources and inability to compare results and validate conclusions.</p>
<p class="par-ubuntu">Despite being highlighted by numerous research works, the lack of usable, public, reliable, and accessible data remains disregarded in many fields. The I2CVB is a <font color="#f46f1b">wake-up call</font> for addressing and breaking the entrance barriers in research due to data and/or isolation by applying <font color="#f46f1b">collaborative</font> strategies.</p>
</div></div><div class="col-xs-4 vcenter">
<img src="./images/logos/working/researchBarrier.png" class="img-center" alt="A generic square placeholder image with a white border around it, making it resemble a photograph taken with an old instant camera">
</div>
</div>
</div>
<div class="row equal row-principle-no-border">
<div class="section-benchmark2">
<div class="col-xs-4 vcenter">
<img src="./images/logos/working/what.png" class="img-center" alt="A generic square placeholder image with a white border around it, making it resemble a photograph taken with an old instant camera">
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<h2 class="title-principle text-align-center"><img class="img-hand-orange text-align-right" src="./images/logos/title.png"> <font color="#f46f1b">M</font>ission</h2>
</div>
</div>
<div class="section-benchmark1">
<h3 class="first-par">Open data; evaluation methods; comparison framework; reporting platform</h3>
<p class="par-ubuntu">The lack of common data combined with non-aggregated assessing strategies result in non-existent or misleading comparisons make difficult to acknowledge relevant novel methodologies. A <font color="#f46f1b">common duty</font> to the research and development communities is to overcome these limitations, which can be successfully addressed by <font color="#f46f1b">co-creation</font> and <font color="#f46f1b">collaborative work</font>.</p>
<p class="par-ubuntu">I2CVB aims at serving as foundation for collecting and sharing data as well as providing common evaluation methodologies. Furthermore, the use of common data and evaluation is the only way to achieve fair comparison.</p>
</div>
</div>
</div>
</div>
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<div class="section-benchmark2">
<div class="col-xs-8 vcenter">
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<h2 class="title-principle text-align-center"><img class="img-hand-orange text-align-right" src="./images/logos/title.png"> <font color="#f46f1b">P</font>rotagonists</h2>
</div>
</div>
<div class="section-benchmark1">
<h3 class="first-par">Research groups and individuals from all walks of life to shape a transparent community</h3>
<p class="par-ubuntu">I2CVB creates for <font color="#f46f1b">everyone</font> the opportunity to pursue <font color="#f46f1b">common goals</font> through sharing, collaborating and team-working, to empower the individuals by taking advantages of <font color="#f46f1b">personal skills and resources</font>. As a consequence, young researchers will find an eco-system for <font color="#f46f1b">self-improvement</font> in which work will be rewarded through <font color="#f46f1b">benchmarking compilation</font>.</p>
</div></div><div class="col-xs-4 vcenter">
<img src="./images/logos/working/shark.png" class="img-center" alt="A generic square placeholder image with a white border around it, making it resemble a photograph taken with an old instant camera">
</div>
</div>
</div>
<div class="row equal row-principle-no-border">
<div class="section-benchmark2">
<div class="col-xs-4 vcenter">
<img src="./images/logos/working/openSource_method.png" class="img-center" alt="A generic square placeholder image with a white border around it, making it resemble a photograph taken with an old instant camera">
</div><div class="col-xs-8 vcenter">
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<div class="col-sm-12 vcenter">
<h2 class="title-principle text-align-center"><img class="img-hand-orange text-align-right" src="./images/logos/title.png"> <font color="#f46f1b">S</font>trategy</h2>
</div>
</div>
<div class="section-benchmark1">
<h3 class="first-par">Transfer successful practises from Free Software and Quality Management</h3>
<p class="par-ubuntu">I2CVB community challenges the impossible as well as the current status quo in research. Therefore, we strive to settle a multi-skilled community pursuing <font color="#f46f1b">common goals</font> to achieve excellence through <font color="#f46f1b">collaborative continuous improvement</font>.</p>
<p class="par-ubuntu">At I2CVB, we believe that <font color="#f46f1b">Free Software</font> and <font color="#f46f1b">Quality Management</font> have already reshaped the world and that it is time to apply some of the successful practices learned in such domains to expand the boundaries of research in computer vision and specially for the medical imaging case.</p>
</div>
</div>
</div>
<div class="bs-callout bs-callout-warning">
<h2 class="h4-small">Acknowledgement</h2>
<h3 class="h3-ubuntu">Up to now, despite hoping to extend the following list, <img class="img-hand-orange text-align-right" src="./images/logos/title.png"> acknowledges:</h3>
<p class="main-text">I2CVB thanks all the anonymous patients who kindly shared their medical data.</p>
<p class="main-text">I2CVB thanks the Generalitat de Catalunya, Spanish government, Conseil Regional de Bourgogne, Universitat de Girona for supporting the persons who generate the material shared in I2CVB by means of the following grants: FI-DGR 2012, MOY 2011/018/06, TIN2007-6055, TIN2011-2370, CRB 2013-9201AAO049S02890.</p>
<p class="main-text">I2CVB thanks the Universitat de Girona (FP7-306088) and GitHub to sustain I2CVB in terms of infrastructure for storing and sharing data.</p>
<p class="main-text">I2CVB thanks the different collaborators with whom this initiative came into being.</p>
</div>
</div>
</section>
<section id="contact" class="contact-section">
<h2 class="page-header">Current contacts</h2>
<p class ="text-center vertical-space-20px par-ubuntu">Questions, comments and remarks can be sent to:</p>
<div class="row equal">
<div class="col-xs-6">
<div class="panel panel-primary" id="contact1">
<div class="panel-heading">
<h3 class="panel-title text-center">Joan Massich Vall</h3>
</div>
<div class="panel-body">
<div class="image-center"> <img src="./images/logos/le2i-logo.png" height="32"> </div>
<address class="text-center">
<strong>Laboratoire LE2I</strong><br>
12, Rue de la Fonderie<br>
71200 Le Creusot<br>
<abbr title="Phone">P:</abbr> (+33) 000000000<br>
<a href="mailto:joan_massich-vall@etu.u-bourgogne.fr">joan_massich-vall@etu.u-bourgogne.fr</a>
</address>
</div>
</div>
</div>
<div class="col-xs-6">
<div class="panel panel-primary" id="contact2">
<div class="panel-heading">
<h3 class="panel-title text-center">Guillaume Lemaitre</h3>
</div>
<div class="panel-body">
<div class="image-center"> <img src="./images/logos/vicorob-logo.png" height="32"> </div>
<address class="text-center">
<strong>ViCOROB</strong><br>
Campus Montilivi, <br> Edifici P4<br>
17071 Girona<br>
<abbr title="Phone">P:</abbr> (+33) 761104782<br>
<a href="mailto:guillaume.lemaitre@udg.edu">g.lemaitre58@gmail.com</a>
</address>
</div>
</div>
</div>
</div>
</section>
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