This project compares the performance of UNet, ResUNet, SegResNet, and UNETR architectures on the 2017 LiTS dataset for liver tumor segmentation. We evaluate segmentation accuracy using the DICE score to identify key factors for effective tumor segmentation.
deep-learning cnn medical-imaging unet 3d-segmentation resunet lits-data healthcare-ai vision-transformer unetr liver-tumor-segmentation segresnet
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Updated
Aug 14, 2024 - Jupyter Notebook