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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...
Gespeichert in:
| Veröffentlicht in: | BMC Med Imaging |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2020
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| 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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