Utilizing machine-learning techniques on MRI radiomics to identify primary tumors in brain metastases

Utilizing machine-learning techniques on MRI radiomics to identify primary tumors in brain metastases

ObjectiveTo develop a machine learning-based clinical and/or radiomics model for predicting the primary site of brain metastases using multiparametric magnetic resonance imaging (MRI).Materials and methodsA total of 202 patients (87 males, 115 females) with 439 brain metastases were retrospectively...

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Bibliographic Details
Main Authors:	W. L. Yang, X. R. Su, S. Li, K. Y. Zhao, Q. Yue
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-01-01
Series:	Frontiers in Neurology
Subjects:	radiomics machine learning magnetic resonance imaging brain metastases support vector machine (SVM) logistic regression (LR)
Online Access:	https://www.frontiersin.org/articles/10.3389/fneur.2024.1474461/full
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