Deep Learning-Based Segmentation of Peritoneal Cancer Index Regions from CT Imaging
This work presents the first deep learning approach to automatically segment 13 rPCI regions on CT and introduces an anatomically constrained pipeline that trains on merged super-regions and splits them during post-processing using TotalSegmentator landmarks at the hips and the ligament of Treitz.