Cargando…
A fast stochastic framework for automatic MR brain images segmentation
This paper introduces a new framework for the segmentation of different brain structures (white matter, gray matter, and cerebrospinal fluid) from 3D MR brain images at different life stages. The proposed segmentation framework is based on a shape prior built using a subset of co-aligned training im...
Autores principales: | Ismail, Marwa, Soliman, Ahmed, Ghazal, Mohammed, Switala, Andrew E., Gimel’farb, Georgy, Barnes, Gregory N., Khalil, Ashraf, El-Baz, Ayman |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5685492/ https://www.ncbi.nlm.nih.gov/pubmed/29136034 http://dx.doi.org/10.1371/journal.pone.0187391 |
Ejemplares similares
-
3D Kidney Segmentation from Abdominal Images Using Spatial-Appearance Models
por: Khalifa, Fahmi, et al.
Publicado: (2017) -
Machine Learning Applications in Medical Image Analysis
por: El-Baz, Ayman, et al.
Publicado: (2017) -
Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans
por: El-Baz, Ayman, et al.
Publicado: (2013) -
Lung Imaging Data Analysis
por: El-Baz, Ayman, et al.
Publicado: (2013) -
Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies
por: El-Baz, Ayman, et al.
Publicado: (2013)