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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Veröffentlicht in:	Frontiers in oncology Jg. 10; S. 71
Hauptverfasser:	Payabvash, Seyedmehdi, Aboian, Mariam, Tihan, Tarik, Cha, Soonmee
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Media S.A 07.02.2020
Schlagworte:	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-Zugang:	Volltext
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