Deep semi-supervised learning for brain tumor classification

Deep semi-supervised learning for brain tumor classification

Abstract Background This paper addresses issues of brain tumor, glioma, classification from four modalities of Magnetic Resonance Image (MRI) scans (i.e., T1 weighted MRI, T1 weighted MRI with contrast-enhanced, T2 weighted MRI and FLAIR). Currently, many available glioma datasets often contain some...

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Bibliographic Details
Main Authors: Chenjie Ge, Irene Yu-Hua Gu, Asgeir Store Jakola, Jie Yang
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Medical Imaging
Subjects:
Glioma
Molecular-based brain tumor classification
Grading
MRI
Semi-supervised learning
Deep learning
Online Access:http://link.springer.com/article/10.1186/s12880-020-00485-0

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