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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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| Publicado no: | Front Endocrinol (Lausanne) |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6718446/ https://ncbi.nlm.nih.gov/pubmed/31507537 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fendo.2019.00588 |
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