Supervised Brain Tumor Segmentation Based on Gradient and Context-Sensitive Features

Gliomas have the highest mortality rate and prevalence among the primary brain tumors. In this study, we proposed a supervised brain tumor segmentation method which detects diverse tumoral structures of both high grade gliomas and low grade gliomas in magnetic resonance imaging (MRI) images based on...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Junting, Meng, Zhaopeng, Wei, Leyi, Sun, Changming, Zou, Quan, Su, Ran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427904/
https://www.ncbi.nlm.nih.gov/pubmed/30930729
http://dx.doi.org/10.3389/fnins.2019.00144

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427904/
https://www.ncbi.nlm.nih.gov/pubmed/30930729
http://dx.doi.org/10.3389/fnins.2019.00144

Ejemplares similares