Machine Learning Models for Multiparametric Glioma Grading With Quantitative Result Interpretations

Gliomas are the most common primary malignant brain tumors in adults. Accurate grading is crucial as therapeutic strategies are often disparate for different grades and may influence patient prognosis. This study aims to provide an automated glioma grading platform on the basis of machine learning m...

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Detalles Bibliográficos
Autores principales: Wang, Xiuying, Wang, Dingqian, Yao, Zhigang, Xin, Bowen, Wang, Bao, Lan, Chuanjin, Qin, Yejun, Xu, Shangchen, He, Dazhong, Liu, Yingchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337068/
https://www.ncbi.nlm.nih.gov/pubmed/30686996
http://dx.doi.org/10.3389/fnins.2018.01046

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337068/
https://www.ncbi.nlm.nih.gov/pubmed/30686996
http://dx.doi.org/10.3389/fnins.2018.01046

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