Assessing an Automated Noncontrast CT–based Pipeline for Sacral Tumor Classification Using a Hip Bone Reference Frame
Abstract
An automated deep learning–based classification model outperformed radiologists in noncontrast CT-based segmentation and six-class classification of sacral tumors.
Fields of Study & Subjects
Medical Imaging and Analysis
Pelvic and Acetabular Injuries
Hip disorders and treatments
Publication details
- Journal / source
- Radiology Imaging Cancer
- Publisher
- Radiological Society of North America (RSNA)
- Volume
- 8
- Issue
- 1
- Pages
- e250098–e250098
- Publication date
- 1 January 2026
- Language
- EN