Fully convolutional network-based multi-output model for automatic segmentation of organs at risk in thorax

PURPOSE: To propose a multi-output fully convolutional network (MOFCN) to segment bilateral lung, heart and spinal cord in the planning thoracic computed tomography (CT) slices automatically and simultaneously. METHODS: The MOFCN includes two components: one main backbone and three branches. The mai...

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Detalles Bibliográficos
Autores principales: Zhang, Jie, Yang, Yiwei, Shao, Kainan, Bai, Xue, Fang, Min, Shan, Guoping, Chen, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454972/
https://www.ncbi.nlm.nih.gov/pubmed/34053337
http://dx.doi.org/10.1177/00368504211020161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454972/
https://www.ncbi.nlm.nih.gov/pubmed/34053337
http://dx.doi.org/10.1177/00368504211020161

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