[NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)
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Updated
Dec 3, 2024 - Python
[NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)
abdominal multi-organ segmentation using pytorch
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)
Pytorch implementation of paper Ladder Fine-tuning approach for SAM integrating complementary network.
A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation
A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy
[MICCAI 2023] Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers
Identify the locations of each functional tissue unit (FTU) in biopsy slides from several different organs.
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