🩺 Automate knee MRI segmentation using DiffuKnee’s diffusion model and U-Net pipeline for accurate and efficient multi-class results.
Deep Learning Based Diagnosis, Abnormality and Common Disorders detection using Knee MRI Stanford MRNet Dataset
A PyTorch implementation of a diffusion-model + U-Net pipeline for automated multi-class segmentation of knee MRI scans. Includes dataset utilities, training/evaluation workflows, and 2D/3D inference scripts, with Docker and conda support for reproducibility.
Knee bone and cartilage segmentation in 3D MRI
Explainable deep learning on the MRNet knee MRI dataset (CAM + SHAP) with scripts for training, attribution, and visualization.
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