Feasibility study of U-Net-based automatic segmentation of pelvic bone marrow for postoperative radiotherapy in cervical cancer

The RT-Mind software based on a U-Net architecture demonstrates high accuracy and efficiency in segmenting CTV and OARs in postoperative radiotherapy for cervical cancer, particularly in delineating pelvic bone marrow. It effectively reduces contouring time and inter-observer variability, offering promising clinical applicability.

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Publication Details

Journal
Frontiers in Oncology
Published
2026-01-27
DOI
https://doi.org/10.3389/fonc.2025.1612984
Primary Topic
Endometrial and Cervical Cancer Treatments
Type
article
Field-Weighted Citation Impact
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article

Feasibility study of U-Net-based automatic segmentation of pelvic bone marrow for postoperative radiotherapy in cervical cancer

Yan Zhuang, Qianjin Shi, Tianhong Tang, Hao Qiu et al.
Frontiers in Oncology
Endometrial and Cervical Cancer Treatments
article

Feasibility study of U-Net-based automatic segmentation of pelvic bone marrow for postoperative radiotherapy in cervical cancer

Yan Zhuang, Qianjin Shi, Tianhong Tang, Hao Qiu, Kang Shen
article en

Abstract

The RT-Mind software based on a U-Net architecture demonstrates high accuracy and efficiency in segmenting CTV and OARs in postoperative radiotherapy for cervical cancer, particularly in delineating pelvic bone marrow. It effectively reduces contouring time and inter-observer variability, offering promising clinical applicability.

Frontiers in OncologyVol. 15
Yang Hospital (KR)
Openalex Percentile: Top 79%
Endometrial and Cervical Cancer Treatments
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