AI RESEARCH
Budget-Aware Uncertainty for Radiotherapy Segmentation QA Using nnU-Net
arXiv CS.AI
•
ArXi:2604.11798v1 Announce Type: cross Accurate delineation of the Clinical Target Volume (CTV) is essential for radiotherapy planning, yet remains time-consuming and difficult to assess, especially for complex treatments such as Total Marrow and Lymph Node Irradiation (TMLI). While deep learning-based auto-segmentation can reduce workload, safe clinical deployment requires reliable cues indicating where models may be wrong.