Project 4: Adding dataset-wide functions and integrations of augmentations
- Mentors
- cncastillo, Jakub Mitura
- Organization
- The Julia Language
- Technologies
- julia
- Topics
- machine learning, data science, medical imaging, Medical Segmentation
MedPipe3D is a Julia package that enables working on GPU-accelerated medical image segmentation. MedPipe3D aims to merge MedEye3D, MedEval3D, and MedImage into one coherent pipeline. The project includes developing:
Augmentations for medical data,
Invertible augmentations and support test time augmentations,
Patch-based data loading with probabilistic oversampling,
Calculate Median and Mean Spacing with resampling,
Basic Post-processing operations,
Structured configuration of all hyperparameters,
Visualization of algorithm outputs,
K-fold cross-validation functionality.
Streamlining processes around libraries and increasing both model performance and user experience.