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Feasibility of prediction of radiation-related caries in head-neck cancer patients using machine learning and radiomics features

L. V. F. Neves Anielle Freitas Bendo Danelichen; A Faustino; F. K Matsuura; G Viani; Mehran Azimbagirad; V. D. A Faria; Juliana Fernandes Pavoni; Joaquim Cezar Felipe; Luiz Otávio Murta Júnior

International Journal of Radiation Oncology*Biology*Physics Philadelphia v. 108, n. 3, suppl., p. e782, 2020

Available at FFCLRP - Fac. Fil. Ciên. Let. de R. Preto (pcd 3039221 Acervo Digital )(GetIt)

Title:
Feasibility of prediction of radiation-related caries in head-neck cancer patients using machine learning and radiomics features
Author: L. V. F. Neves
Anielle Freitas Bendo Danelichen; A Faustino; F. K Matsuura; G Viani; Mehran Azimbagirad; V. D. A Faria; Juliana Fernandes Pavoni; Joaquim Cezar Felipe; Luiz Otávio Murta Júnior
Subjects: CÁRIE DENTÁRIA; RADIOTERAPIA; NEOPLASIAS CEREBRAIS
Is Part Of: International Journal of Radiation Oncology*Biology*Physics Philadelphia v. 108, n. 3, suppl., p. e782, 2020
Notes: Disponível em: https://doi.org/10.1016/j.ijrobp.2020.07.243. Acesso em: 19 Ago. 2021
Publisher: Philadelphia
Creation Date: 2020
Format: p. e782.
Language: English

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