Impact of DWI quality and tumor complexity on deep learning-based segmentation of rectal cancer using multicenter MRI data
To assess the influence of DWI quality and tumor complexity on the performance of a fully automated deep learning segmentation algorithm in a large and heterogeneous clinical dataset of rectal cancer MRIs. In this retrospective multicenter study, nnU-Nets were trained on baseline staging MRIs using either a dataset of...