Unlocking Robust Segmentation: Decoding Domain Randomization for Radiologists

2025/07/01 by John D. Mayfield · 1 voice
Computer Science · Engineering · Medicine · #AI in cancer detection #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging

paper · doi:10.1148/ryai.250384

crossref issued 2025/07/01 · crossref published 2025/07/01 · crossref published-print 2025/07/01 · openalex publication_date 2025/07/01 · crossref created 2025/07/09 · crossref deposited 2025/07/09 · crossref indexed 2025/07/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/22

Citations

• nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
• TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images
• Deep Learning with Domain Randomization in Image and Feature Spaces for Abdominal Multiorgan Segmentation on CT and MRI Scans

Discussions

• Unlocking Robust Segmentation: Decoding Domain Randomization for Radiologists https://doi.org/10.1148/ryai.250384 #ICML2025 #MachineLearning #AI [bsky, 4 points, 1 comments]