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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Detalles Bibliográficos
Autores principales: Payabvash, Seyedmehdi, Aboian, Mariam, Tihan, Tarik, Cha, Soonmee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018938/
https://www.ncbi.nlm.nih.gov/pubmed/32117728
http://dx.doi.org/10.3389/fonc.2020.00071

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018938/
https://www.ncbi.nlm.nih.gov/pubmed/32117728
http://dx.doi.org/10.3389/fonc.2020.00071

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