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RAOS
[MICCAI2024] Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging casesnnunet_mini
HaN5K
[In Progressing]HaN5K: A project to develop foundation models for structure delineation in head and neck radiotherapy based on more than 5K CT scans and 10K clinical volumetric organs.RA-Tool
An easy tool for medical image segmentation results analysisInterSeg
[In Progressing] A strong baseline for interactive medical image segmentation, refinement, and annotation.RobustNPC
[GreenJournal2023] Deep learning-based accurate delineation of primary gross tumor volume of nasopharyngeal carcinoma on heterogeneous magnetic resonance imaging: a large-scale and multi-center studyAbsegNet
[RedJournal2023]Comprehensive evaluation of a deep learning model for automatic organs at risk segmentation on heterogeneous computed tomography images for abdominal radiotherapy.AL4MIS
Active Learning for Medical Image SegmentationLNCTVSeg
Deep learning for lymph node clinical target volume delineation in nasopharyngeal carcinoma radiotherapy.AL4GTVSeg
Active Learning for Generalizable Nasopharyngeal Carcinoma Delineation Across Multiple Centers and RatersAI4RAD
Using AI to accelerate adaptive radiotherapy, automatic GTVs, CTVs, OARs delineation, dose estimation, and survival prediction.Love Open Source and this site? Check out how you can help us