RefineNet‐based 2D and 3D automatic segmentations for clinical target volume and organs at risks for patients with cervical cancer in postoperative radiotherapy

PURPOSE: An accurate and reliable target volume delineation is critical for the safe and successful radiotherapy. The purpose of this study is to develop new 2D and 3D automatic segmentation models based on RefineNet for clinical target volume (CTV) and organs at risk (OARs) for postoperative cervic...

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Detalles Bibliográficos
Autores principales: Xiao, Chengjian, Jin, Juebin, Yi, Jinling, Han, Ce, Zhou, Yongqiang, Ai, Yao, Xie, Congying, Jin, Xiance
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278674/
https://www.ncbi.nlm.nih.gov/pubmed/35533205
http://dx.doi.org/10.1002/acm2.13631

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278674/
https://www.ncbi.nlm.nih.gov/pubmed/35533205
http://dx.doi.org/10.1002/acm2.13631

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