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Deep semi-supervised learning for brain tumor classification

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 unlabel...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:BMC Med Imaging
Hauptverfasser: Ge, Chenjie, Gu, Irene Yu-Hua, Jakola, Asgeir Store, Yang, Jie
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2020
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7391541/
https://ncbi.nlm.nih.gov/pubmed/32727476
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12880-020-00485-0
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