A deep learning-based radiomics approach to predict head and neck tumor regression for adaptive radiotherapy

Early regression—the regression in tumor volume during the initial phase of radiotherapy (approximately 2 weeks after treatment initiation)—is a common occurrence during radiotherapy. This rapid radiation-induced tumor regression may alter target coordinates, necessitating adaptive radiotherapy (ART...

Descripción completa

Detalles Bibliográficos
Autores principales: Tanaka, Shohei, Kadoya, Noriyuki, Sugai, Yuto, Umeda, Mariko, Ishizawa, Miyu, Katsuta, Yoshiyuki, Ito, Kengo, Takeda, Ken, Jingu, Keiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142601/
https://www.ncbi.nlm.nih.gov/pubmed/35624113
http://dx.doi.org/10.1038/s41598-022-12170-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142601/
https://www.ncbi.nlm.nih.gov/pubmed/35624113
http://dx.doi.org/10.1038/s41598-022-12170-z

Ejemplares similares