[NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)
-
Updated
Aug 7, 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.
Add a description, image, and links to the multi-organ-segmentation topic page so that developers can more easily learn about it.
To associate your repository with the multi-organ-segmentation topic, visit your repo's landing page and select "manage topics."