3D volume-to-volume generative adversarial network for medical image segmentation
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Updated
Nov 2, 2020 - Python
3D volume-to-volume generative adversarial network for medical image segmentation
Deep neural network to reconstruct Confocal 3D stacks from Light Field Microscopy images.
LUNA(LUng Nodule Analysis) 2016 Segmentation Pipeline
3D DenseNet(torch version) for ModelNet40 dataset
FIJI plugin for tracing of curvilinear structures in volumetric microscopy datasets
Deep-learning (U-NET) CNN model for fully automatic glioma segmentation in 3D volume of MRI data, Survival prediction using different algorithms
Fluospotter is an end-to-end pipeline designed for nuclei segmentation and puncta detection in fluorescence microscopy images.
A set of tools for BVP (Blocky Volume Package)
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