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Article

Deep semi-supervised learning for brain tumor classification.

BMC medical imaging - 29 Jul 2020

Ge Chenjie, Gu Irene Yu-Hua, Jakola Asgeir Store, Yang Jie

Abstract excerpt

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 unlabeled brain scans, and many datasets are moderate in size. METHODS: We propose to exploit deep semi-supervised learning...

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Identifiers

PMID: 32727476
DOI: 10.1186/s12880-020-00485-0
PMCID: PMC7391541

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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