Open area segmentation in CT images based on pixel displacement and multi‐view with application in the axillary and lower cervical regions
The algorithm captures the dynamic changes occurring in the region by analyzing the intensity changes information of pixels between adjacent slices, effectively addressing the segmentation challenges of open region boundaries. This is particularly evident in areas with step-like changes, where the algorithm incorporates pixel displacement information as prior knowledge along with a multi-channel ensemble strategy to enhance segmentation accuracy and robustness.
Authors
- Yubing Tong
- Jayaram K. Udupa (ORCID: https://orcid.org/0000-0002-7361-2927)
- Drew A. Torigian (ORCID: https://orcid.org/0000-0001-8999-9735)
- Yajie Wang (ORCID: https://orcid.org/0009-0007-3778-6843)
- Zhaochen Yang
- Tiange Liu (ORCID: https://orcid.org/0000-0001-9835-8200)
Institutions
- Yanshan University (CN)
- New York University (US)
- University of Pennsylvania (US)
- University of Science and Technology Beijing (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/mp.70210
- Primary Topic
- Medical Image Segmentation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00