Machine Learning Applications for Differentiation of Glioma from Brain Metastasis—A Systematic Review

Machine Learning Applications for Differentiation of Glioma from Brain Metastasis—A Systematic Review

Glioma and brain metastasis can be difficult to distinguish on conventional magnetic resonance imaging (MRI) due to the similarity of imaging features in specific clinical circumstances. Multiple studies have investigated the use of machine learning (ML) models for non-invasive differentiation of gl...

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Bibliographic Details
Main Authors: Leon Jekel, Waverly R. Brim, Marc von Reppert, Lawrence Staib, Gabriel Cassinelli Petersen, Sara Merkaj, Harry Subramanian, Tal Zeevi, Seyedmehdi Payabvash, Khaled Bousabarah, MingDe Lin, Jin Cui, Alexandria Brackett, Amit Mahajan, Antonio Omuro, Michele H. Johnson, Veronica L. Chiang, Ajay Malhotra, Björn Scheffler, Mariam S. Aboian
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Cancers
Subjects:
systematic review
glioma
glioblastoma
brain metastasis
machine learning
artificial intelligence
Online Access:https://www.mdpi.com/2072-6694/14/6/1369

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https://www.mdpi.com/2072-6694/14/6/1369

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