Prior information guided deep-learning model for tumor bed segmentation in breast cancer radiotherapy

The prior tumor contours on both pre-operative and post-operative CTs provide valuable information in searching for the precise location of TB on post-operative CT. The proposed method provided a feasible way to assist auto-segmentation of TB in treatment planning of radiotherapy after breast-conserving surgery.

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Publication Details

Journal
BMC Medical Imaging
Published
2024-11-18
DOI
https://doi.org/10.1186/s12880-024-01469-0
Citations
3
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.21

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article

Prior information guided deep-learning model for tumor bed segmentation in breast cancer radiotherapy

Xin Xie, Jiawen Shang, Hui Yan, Peng Huang
3 citations
BMC Medical Imaging
Medical Imaging Techniques and Applications
1.21
article

Prior information guided deep-learning model for tumor bed segmentation in breast cancer radiotherapy

Xin Xie, Jiawen Shang, Hui Yan, Peng Huang
article en
3 citations

Abstract

The prior tumor contours on both pre-operative and post-operative CTs provide valuable information in searching for the precise location of TB on post-operative CT. The proposed method provided a feasible way to assist auto-segmentation of TB in treatment planning of radiotherapy after breast-conserving surgery.

BMC Medical ImagingVol. 24(1)
Fujian Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Fujian Provincial Cancer Hospital (CN)
National Natural Science Foundation of China, Fujian Provincial Health Technology Project
Good health and well-being
Openalex Percentile: Top 19%
Medical Imaging Techniques and Applications
1.21
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