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Automatic glioma segmentation based on adaptive superpixel
BACKGROUND: The automatic glioma segmentation is of great significance for clinical practice. This study aims to propose an automatic method based on superpixel for glioma segmentation from the T2 weighted Magnetic Resonance Imaging. METHODS: The proposed method mainly includes three steps. First, w...
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| Publicado no: | BMC Med Imaging |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6708204/ https://ncbi.nlm.nih.gov/pubmed/31443642 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12880-019-0369-6 |
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