PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TETCI 2021)
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Updated
May 11, 2022 - Python
PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TETCI 2021)
A rule-based algorithm enabled the automatic extraction of disease labels from tens of thousands of radiology reports. These weak labels were used to create deep learning models to classify multiple diseases for three different organ systems in body CT.
Library to compute 3D surface-distances for evaluating liver ablation/tumor completeness based on segmentation images.
CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver
A collection of medical calculations in Python. Example: MELD score for liver disease.
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