Corrected hip bone segmentation for the TotalSegmentator small subset

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Authors: Siqi Zhang, Rakesh Mohankumar, Ali Naraghi, Cari Whyne, Andy Kin On Wong
Cited by: 0

Abstract

This dataset provides revised ground truth hip bone segmentation masks for eligible hips (N = 104) in the TotalSegmentator small subset. Masks were manually corrected by the authors based on original ground truth within the TotalSegmentator dataset. Revisions were made across the full hip bone volume, with the most substantial changes in the acetabulum and sacroiliac joint regions. Details about this dataset can be found in this validation study (link to come), where these corrected segmentations serve as the ground truth for evaluating a post-processing workflow for TotalSegmentator-generated acetabular segmentations.

Fields of Study & Subjects

Medical Imaging and Analysis Medical Image Segmentation Techniques Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 March 2026
Language
EN
Document type
Dataset