Brain tumor segmentation from multimodal magnetic resonance images via sparse representation.
Objective: Accurately segmenting and quantifying brain gliomas from magnetic resonance (MR) images remains a challenging task because of the large spatial and structural variability among brain tumors. To develop a fully automatic and accurate brain tumor segmentation algorithm, we present a probabi...
| Publicado en: | Artificial Intelligence in Medicine Vol. 73; pp. 1 - 14 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Oct2016
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| Acceso en línea: | Ver este registro en EBSCOhost |