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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Han Zhou, Yikun Li, Ying Gu, Zetian Shen, Xixu Zhu, Yun Ge
Format: article
Langue:EN
Publié: AIMS Press 2021
Sujets:
Accès en ligne:https://doaj.org/article/85948d365ee046f193c37539525c2b9b
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!