Machine Learning-Based Radiomics Predicts Radiotherapeutic Response in Patients With Acromegaly

Background: Prediction of radiotherapeutic response before radiotherapy could help determine individual treatment strategies for patients with acromegaly. Objective: To develop and validate a machine-learning-based multiparametric MRI radiomics model to non-invasively predict radiotherapeutic respon...

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Detalles Bibliográficos
Autores principales: Fan, Yanghua, Jiang, Shenzhong, Hua, Min, Feng, Shanshan, Feng, Ming, Wang, Renzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718446/
https://www.ncbi.nlm.nih.gov/pubmed/31507537
http://dx.doi.org/10.3389/fendo.2019.00588

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718446/
https://www.ncbi.nlm.nih.gov/pubmed/31507537
http://dx.doi.org/10.3389/fendo.2019.00588

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