black0017/MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Provides pre-built implementations of state-of-the-art 3D architectures (U-Net3D, V-Net, DenseNet variants, HyperDenseNet) alongside standardized data loaders for major medical imaging benchmarks (BraTS, iSeg, MR-Brains). Emphasizes reproducibility through modular design with configurable training pipelines, inference utilities, and support for multi-modal MRI inputs, enabling rapid prototyping and comparison of segmentation models on standardized datasets.
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Jul 25, 2024
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