[NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)
-
Updated
Aug 25, 2026 - Python
[NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)
abdominal multi-organ segmentation using pytorch
Pytorch implementation of paper Ladder Fine-tuning approach for SAM integrating complementary network.
A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation
PraNet-V2: Upgrading PraNet from binary (V1) to multi-class (V2) segmentation . Support both Jittor & PyTorch DL frameworks.
[MICCAI 2023] Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers
A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy
Official implementation of EGPDC-Seg for federated abdominal CT multi-organ segmentation with partially labeled data.
OLES3D: error-aware adaptive patch sampling for 3D abdominal CT multi-organ segmentation with nnU-Net.
Identify the locations of each functional tissue unit (FTU) in biopsy slides from several different organs.
To associate your repository with the multi-organ-segmentation topic, visit your repo's landing page and select "manage topics."