A deep learning based automatic segmentation approach for anatomical structures in intensity modulation radiotherapy

A deep learning based automatic segmentation approach for anatomical structures in intensity modulation radiotherapy

Objective: To evaluate the automatic segmentation approach for organ at risk (OARs) and compare the parameters of dose volume histogram (DVH) in radiotherapy. Methodology: Thirty-three patients were selected to contour OARs using automatic segmentation approach which based on U-Net, applying them t...

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Detalles Bibliográficos
Autores principales: Han Zhou, Yikun Li, Ying Gu, Zetian Shen, Xixu Zhu, Yun Ge
Formato: article
Lenguaje:EN
Publicado: AIMS Press 2021
Materias:
automatic segment approach
deep learning
organ at risk
intensity modulated radiotherapy
dose volume histogram
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
Acceso en línea:https://doaj.org/article/85948d365ee046f193c37539525c2b9b
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https://doaj.org/article/85948d365ee046f193c37539525c2b9b

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