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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...
Autores principales: | Xiao, Chengjian, Jin, Juebin, Yi, Jinling, Han, Ce, Zhou, Yongqiang, Ai, Yao, Xie, Congying, Jin, Xiance |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
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 |
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