학술논문
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort
Document Type
Article
Author
Massi, M.C.; Ieva, F.; Paganoni, A.M.; Zunino, P.; Manzoni, A.; Franco, N.R.; Gasperoni, F.; Veldeman, L.; Ost, P.; Fonteyne, V.; Talbot, C.J.; Rattay, T.; Webb, A.; Symonds, P.R.; Johnson, K.; Lambrecht, M.; Haustermans, K.; De Meerleer, G.; de Ruysscher, D.; Van Limbergen, E.; Vanneste, B.; Choudhury, A.; Elliott, R.M.; West, C.M.L.; Sperk, E.; Herskind, C.; Veldwijk, M.R.; Avuzzi, B.; Valdagni, R.; Giandini, T.; Cicchetti, A.; Rancati, T.; Azria, D.; Jacquet, M.-P.F.; Rosenstein, B.S.; Stock, R.G.; Collado, K.; Vega, A.; Aguado-Barrera, M.E.; Calvo, P.; Dunning, A.M.; Fachal, L.; Kerns, S.L.; Payne, D.; Chang-Claude, J.; Seibold, P.
Source
In: Frontiers in Oncology . (Frontiers in Oncology, 15 October 2020, 10)
Subject
Language
English
ISSN
2234943X