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Deep learning‐based auto segmentation using generative adversarial network on magnetic resonance images obtained for head and neck cancer patients

PURPOSE: Adaptive radiotherapy requires auto‐segmentation in patients with head and neck (HN) cancer. In the current study, we propose an auto‐segmentation model using a generative adversarial network (GAN) on magnetic resonance (MR) images of HN cancer for MR‐guided radiotherapy (MRgRT). MATERIAL A...

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Detalles Bibliográficos
Autores principales:	Kawahara, Daisuke, Tsuneda, Masato, Ozawa, Shuichi, Okamoto, Hiroyuki, Nakamura, Mitsuhiro, Nishio, Teiji, Nagata, Yasushi
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/PMC9121028/ https://www.ncbi.nlm.nih.gov/pubmed/35263027 http://dx.doi.org/10.1002/acm2.13579

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