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Post-Radiotherapy PET Image Outcome Prediction by Deep Learning Under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application

PURPOSE: To develop a method of biologically guided deep learning for post-radiation (18)FDG-PET image outcome prediction based on pre-radiation images and radiotherapy dose information. METHODS: Based on the classic reaction–diffusion mechanism, a novel biological model was proposed using a partial...

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Detalles Bibliográficos
Autores principales:	Ji, Hangjie, Lafata, Kyle, Mowery, Yvonne, Brizel, David, Bertozzi, Andrea L., Yin, Fang-Fang, Wang, Chunhao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135979/ https://www.ncbi.nlm.nih.gov/pubmed/35646643 http://dx.doi.org/10.3389/fonc.2022.895544

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