Deep Learning Based Diagnosis, Abnormality and Common Disorders detection using Knee MRI Stanford MRNet Dataset
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Updated
Mar 3, 2022 - Jupyter Notebook
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knee-mri
Here are 5 public repositories matching this topic...
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.
computer-vision deep-learning pytorch medical-imaging unet mri-segmentation diffusion-models semant healthcare-ai knee-mri
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Sep 6, 2025 - Python
🩺 Automate knee MRI segmentation using DiffuKnee’s diffusion model and U-Net pipeline for accurate and efficient multi-class results.
computer-vision deep-learning pytorch medical-imaging unet mri-segmentation diffusion-models healthcare-ai knee-mri
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Jan 17, 2026 - JavaScript
Knee bone and cartilage segmentation in 3D MRI
mri mri-images osteoarthritis mri-segmentation knee-osteoarthritis-analysis mri-analysis knee-osteoarthritis-prediction osteoarthritis-initiative knee-osteoarthritis mri-classification knee-mri 3d-mri-segmentation 3d-mri
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Jan 6, 2026 - Python
Explainable deep learning on the MRNet knee MRI dataset (CAM + SHAP) with scripts for training, attribution, and visualization.
visualization deep-learning grad-cam pytorch mri medical-imaging interpretability explainable-ai xai shap mrnet knee-mri
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Jan 8, 2026 - Jupyter Notebook
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