Automatic segmentation and applicator reconstruction for CT‐based brachytherapy of cervical cancer using 3D convolutional neural networks

In this study, we present deep learning‐based approaches to automatic segmentation and applicator reconstruction with high accuracy and efficiency in the planning computed tomography (CT) for cervical cancer brachytherapy (BT). A novel three‐dimensional (3D) convolutional neural network (CNN) archit...

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Detalles Bibliográficos
Autores principales: Zhang, Daguang, Yang, Zhiyong, Jiang, Shan, Zhou, Zeyang, Meng, Maobin, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592978/
https://www.ncbi.nlm.nih.gov/pubmed/32991783
http://dx.doi.org/10.1002/acm2.13024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592978/
https://www.ncbi.nlm.nih.gov/pubmed/32991783
http://dx.doi.org/10.1002/acm2.13024

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