2 papers
physics.med-ph2025
Impact of deep learning model uncertainty on manual corrections to auto-segmentation in prostate cancer radiotherapy
Viktor Rogowski, Angelica Svalkvist, Matteo Maspero +12
Background: Deep learning (DL)-based organ segmentation is increasingly used in radiotherapy, yet voxel-wise DL uncertainty maps are rarely presented to clinicians. Purpose: This s…
physics.med-ph2025
LUND-PROBE -- LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset
Viktor Rogowski, Lars E Olsson, Jonas Scherman +12
Radiotherapy treatment for prostate cancer relies on computed tomography (CT) and/or magnetic resonance imaging (MRI) for segmentation of target volumes and organs at risk (OARs).…