Machine learning decision tree models for multiclass classification of common malignant brain tumors using perfusion and spectroscopy MRI data

Machine learning decision tree models for multiclass classification of common malignant brain tumors using perfusion and spectroscopy MRI data

BackgroundTo investigate the contribution of machine learning decision tree models applied to perfusion and spectroscopy MRI for multiclass classification of lymphomas, glioblastomas, and metastases, and then to bring out the underlying key pathophysiological processes involved in the hierarchizatio...

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Bibliographic Details
Main Authors: Rodolphe Vallée, Jean-Noël Vallée, Carole Guillevin, Athéna Lallouette, Clément Thomas, Guillaume Rittano, Michel Wager, Rémy Guillevin, Alexandre Vallée
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Oncology
Subjects:
classification and regression tree (CART)
multiclass classification
lymphoma
glioblastoma
metastasis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1089998/full

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https://www.frontiersin.org/articles/10.3389/fonc.2023.1089998/full

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