Fig. 3

Selected axial T2-weighted MR slices from a patient (SFX-024 in Table 3) with T3N0 rectal cancer, highlighting challenging segmentation cases. The MR images are overlaid with tumor segmentations that were (a) over-segmented, (b) under-segmented, and (c) over-segmented by the data scientist (yellow) with subsequent edits by the radiologist (purple). Image (d) presents a 3D visualization of the segmented tumor, illustrating the spatial relationship and overlap between the data scientist’s segmentation (yellow) and the radiologist’s edits (purple). The DSC and JI between the segmentations performed by the data scientist and the radiologist were 0.98 and 0.96, respectively. Created in BioRender. Selby, H. (2025) https://BioRender.com/t87e418