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.

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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
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article

Open area segmentation in CT images based on pixel displacement and multi‐view with application in the axillary and lower cervical regions

Yubing Tong, Jayaram K. Udupa, Drew A. Torigian, Yajie Wang et al.
Medical Physics
Medical Image Segmentation Techniques
article

Open area segmentation in CT images based on pixel displacement and multi‐view with application in the axillary and lower cervical regions

Yubing Tong, Jayaram K. Udupa, Drew A. Torigian, Yajie Wang, Zhaochen Yang, Tiange Liu
article en

Abstract

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.

Medical PhysicsVol. 52(12)
Yanshan University (CN), New York University (US), University of Pennsylvania (US), University of Science and Technology Beijing (CN)
Openalex Percentile: Top 59%
Medical Image Segmentation Techniques
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