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

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

Abstract Background and purpose Tumor bed (TB) is the residual cavity of resected tumor after surgery. Delineating TB from CT is crucial in generating clinical target volume for radiotherapy. Due to multiple surgical effects and low image contrast, segmenting TB from soft tissue is challenging. In c...

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Bibliographic Details
Main Authors: Peng Huang, Hui Yan, Jiawen Shang, Xin Xie
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Medical Imaging
Subjects:
Tumor bed
Radiotherapy
Deep learning
Segmentation
Online Access:https://doi.org/10.1186/s12880-024-01469-0
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https://doi.org/10.1186/s12880-024-01469-0

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