Open Issues Need Help
View All on GitHub enhancement help wanted good first issue
Simple, lightweight, and reproducible medical imaging AI toolkit.
Python
#deep-learning#explainable-ai#gradcam#medical-imaging#pytorch#radiomics#segmentation-loss
documentation good first issue
Simple, lightweight, and reproducible medical imaging AI toolkit.
Python
#deep-learning#explainable-ai#gradcam#medical-imaging#pytorch#radiomics#segmentation-loss
Implement Self-Supervised Pre-training (SimMIM / Masked Autoencoders) for 3D/2D Medical Encoders 27 days ago
enhancement help wanted advanced research
Simple, lightweight, and reproducible medical imaging AI toolkit.
Python
#deep-learning#explainable-ai#gradcam#medical-imaging#pytorch#radiomics#segmentation-loss
Implement 3D U-Net Architecture for Volumetric Segmentation about 1 month ago
enhancement help wanted advanced
Simple, lightweight, and reproducible medical imaging AI toolkit.
Python
#deep-learning#explainable-ai#gradcam#medical-imaging#pytorch#radiomics#segmentation-loss
Update README.md with Quick Examples for UNet and Post-processing about 1 month ago
documentation good first issue
Simple, lightweight, and reproducible medical imaging AI toolkit.
Python
#deep-learning#explainable-ai#gradcam#medical-imaging#pytorch#radiomics#segmentation-loss
[BUG] ROI Cropping handles floating-point coordinates unsafely about 1 month ago
bug good first issue
Simple, lightweight, and reproducible medical imaging AI toolkit.
Python
#deep-learning#explainable-ai#gradcam#medical-imaging#pytorch#radiomics#segmentation-loss
[DOCS] Add a Quick Start Jupyter Notebook Example about 1 month ago
documentation good first issue
Simple, lightweight, and reproducible medical imaging AI toolkit.
Python
#deep-learning#explainable-ai#gradcam#medical-imaging#pytorch#radiomics#segmentation-loss
[FEAT] Add Generalized Dice Loss for Multi-Class Segmentation about 1 month ago
enhancement help wanted
Simple, lightweight, and reproducible medical imaging AI toolkit.
Python
#deep-learning#explainable-ai#gradcam#medical-imaging#pytorch#radiomics#segmentation-loss