Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images" (https://arxiv.org/abs/2106.00116)

Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays

Codebase for Imperial MSc AI Group Project: How Well Do Self-Supervised Models Transfer to Medical Imaging?

The best single model performance on the CheXpert chest X-ray classification competition

X-Ray diagnosis and heatmap visualization of disease area using deep learning models like VGG-16 and Grad-CAM with 86% accuracy

Deep Learning AI capable of diagnosing 14 chest diseases with 90% accuracy . Performing Image Processing and Chest XRay analysis and exports AI generated Medical Report.

Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning

Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Framework for Disease Detection from Chest X-rays