Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology.
Muhammad Febrian RachmadiMaria del C. Valdés HernándezMaria Leonora Fatimah AganCarol Di PerriTaku KomuraPublished in: Comput. Medical Imaging Graph. (2018)
Keyphrases
- brain mri
- spatial information
- multiple sclerosis
- magnetic resonance images
- white matter
- convolutional neural networks
- anatomical structures
- region growing
- spatial distribution
- medical images
- partial volume
- medical imaging
- magnetic resonance imaging
- brain tissue
- grey matter
- brain images
- mri data
- high resolution
- medical image analysis
- disease progression
- brain tumors
- high quality
- pixel wise
- cerebrospinal fluid
- mr images
- blood vessels
- image segmentation
- gray matter
- diffusion tensor
- image processing
- edge detection
- human brain