Machine Learning Decision Tree Models for Differentiation of Posterior Fossa Tumors Using Diffusion Histogram Analysis and Structural MRI Findings

We applied machine learning algorithms for differentiation of posterior fossa tumors using apparent diffusion coefficient (ADC) histogram analysis and structural MRI findings. A total of 256 patients with intra-axial posterior fossa tumors were identified, of whom 248 were included in machine learni...

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Bibliographic Details

Published in:	Frontiers in oncology Vol. 10; p. 71
Main Authors:	Payabvash, Seyedmehdi, Aboian, Mariam, Tihan, Tarik, Cha, Soonmee
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media S.A 07.02.2020
Subjects:	decision tree model diffusion histogram machine learning MRI Oncology posterior fossa tumor decision tree model diffusion histogram machine learning MRI posterior fossa tumor
ISSN:	2234-943X, 2234-943X
Online Access:	Get full text
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