Automatic Segmentation of Clinical Target Volumes for Post-Modified Radical Mastectomy Radiotherapy Using Convolutional Neural Networks

BACKGROUND: This study aims to construct and validate a model based on convolutional neural networks (CNNs), which can fulfil the automatic segmentation of clinical target volumes (CTVs) of breast cancer for radiotherapy. METHODS: In this work, computed tomography (CT) scans of 110 patients who unde...

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Detalles Bibliográficos
Autores principales: Liu, Zhikai, Liu, Fangjie, Chen, Wanqi, Liu, Xia, Hou, Xiaorong, Shen, Jing, Guan, Hui, Zhen, Hongnan, Wang, Shaobin, Chen, Qi, Chen, Yu, Zhang, Fuquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921705/
https://www.ncbi.nlm.nih.gov/pubmed/33665160
http://dx.doi.org/10.3389/fonc.2020.581347

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921705/
https://www.ncbi.nlm.nih.gov/pubmed/33665160
http://dx.doi.org/10.3389/fonc.2020.581347

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