Fig. 2
From: AI-ready rectal cancer MR imaging: a workflow for tumor detection and segmentation
Overview of image pre-processing steps for data harmonization, including (1) ROI segmentation (yellow) delineated by data scientist and reviewed by radiologist, (2) isotropic resampling of MR images to a uniform spacing of 1 mm in the x, y, and z planes using B-Spline interpolation to preserve anatomical details, while segmentations were resampled using Nearest Neighbor (NN) interpolation to maintain boundary precision, balancing anatomical accuracy with segmentation fidelity, (3) extraction of the maximum connected component to remove stray pixels (denoted by red arrow), and (4) hole filling. Created in BioRender. Selby, H. (2025) https://BioRender.com/e41a602