MS-GAN: GAN-Based Semantic Segmentation of Multiple Sclerosis Lesions in Brain Magnetic Resonance Imaging.
Chaoyi ZhangYang SongSidong LiuScott LillChenyu WangZihao TangYuyi YouYang GaoAlexander KlistornerMichael BarnettWeidong CaiPublished in: DICTA (2018)
Keyphrases
- magnetic resonance imaging
- semantic segmentation
- grey matter
- magnetic resonance images
- partial volume effects
- medical images
- multiple sclerosis
- mri data
- structuring elements
- brain tissue
- medical imaging
- white matter
- superpixels
- brain structures
- mri images
- brain images
- conditional random fields
- brain tumors
- object categories
- brain mri
- object classes
- anatomical structures
- magnetic resonance
- human brain
- image processing
- multiscale
- deformable models
- mr images
- medical image analysis
- image segmentation
- segmentation method
- image analysis
- object recognition
- brain mr images
- partial volume
- pattern recognition
- high quality
- machine learning