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

Internet

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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