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 respons...
Main Authors: | Yanghua Fan, Shenzhong Jiang, Min Hua, Shanshan Feng, Ming Feng, Renzhi Wang |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2019-08-01
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Series: | Frontiers in Endocrinology |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fendo.2019.00588/full |
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