Head and neck tumor segmentation convolutional neural network robust to missing PET/CT modalities using channel dropout

Objective. Radiation therapy for head and neck (H&N) cancer relies on accurate segmentation of the primary tumor. A robust, accurate, and automated gross tumor volume segmentation method is warranted for H&N cancer therapeutic management. The purpose of this study is to develop a novel deep...

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Detalles Bibliográficos
Autores principales: Zhao, Lin-mei, Zhang, Helen, Kim, Daniel D, Ghimire, Kanchan, Hu, Rong, Kargilis, Daniel C, Tang, Lei, Meng, Shujuan, Chen, Quan, Liao, Wei-hua, Bai, Harrison, Jiao, Zhicheng, Feng, Xue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOP Publishing 2023
Materias:
Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126383/
https://www.ncbi.nlm.nih.gov/pubmed/37019119
http://dx.doi.org/10.1088/1361-6560/accac9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126383/
https://www.ncbi.nlm.nih.gov/pubmed/37019119
http://dx.doi.org/10.1088/1361-6560/accac9

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