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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Detalles Bibliográficos
Autores principales: Wu, Yaping, Zhao, Zhe, Wu, Weiguo, Lin, Yusong, Wang, Meiyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708204/
https://www.ncbi.nlm.nih.gov/pubmed/31443642
http://dx.doi.org/10.1186/s12880-019-0369-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708204/
https://www.ncbi.nlm.nih.gov/pubmed/31443642
http://dx.doi.org/10.1186/s12880-019-0369-6

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