COVID-19 Detection Using Chest X-Ray
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Updated
May 3, 2022 - Python
COVID-19 Detection Using Chest X-Ray
Leveraging the recent advances in machine learning and availability of public medical imaging datasets, we created a Free Online X-Ray Diagnostic Tool using deep learning that can determine the X-ray type and visualize the pathology.
Stack of REST APIs built on Flask for serving requests to MAMMORY (App), deployed on Azure with GitHub Actions (CI/CD)
Using Pytorch Lightning and Torchxrayvision's Pretrained Densenet121 Models
Chest X-ray Classification
"Covid19-Detector" is a Django-ReactJS Web App with an Artificial Intelligence. It can detect COVID-19 from CT Scan Images using CNN based on DenseNet121 architecture
Apple leaf diseases classification project.
A real-time mask detection system utilizing DenseNet-121, achieving 94.6% training accuracy and 87.1% validation accuracy. This model effectively identifies mask usage, enhancing safety in various settings.
"Covid19-Pneumonia-Detector" is a Django-ReactJS Web App with an Artificial Intelligence. It can detect COVID-19 and Pneumonia from X-ray Images using CNN based on DenseNet121 architecture.
🚀DenseNet Model by Pytorch
Various codes and scripts used during AI research. Orginally developed in the Binary_label_predictions_with_CNNs repository
Various codes and scripts used during AI research, all neatly organised
Acceleration of a classification model for thoracic diseases
Facebook AI Performance Evaluation Platform
Implementaiton of BSC-Densenet-121 in Pytorch from research paper "Adding Binary Search Connections to Improve DenseNet Performance".
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