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Automatic segmentation of the gross target volume in radiotherapy for lung cancer using transresSEUnet 2.5D Network

OBJECTIVE: This paper intends to propose a method of using TransResSEUnet2.5D network for accurate automatic segmentation of the Gross Target Volume (GTV) in Radiotherapy for lung cancer. METHODS: A total of 11,370 computed tomograms (CT), deriving from 137 cases, of lung cancer patients under radio...

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Detalles Bibliográficos
Autores principales:	Xie, Hui, Chen, Zijie, Deng, Jincheng, Zhang, Jianfang, Duan, Hanping, Li, Qing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652981/ https://www.ncbi.nlm.nih.gov/pubmed/36371220 http://dx.doi.org/10.1186/s12967-022-03732-w

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