End-to-end volumetric segmentation of white matter hyperintensities using deep learning.
Sadaf FarkhaniNaiara DemnitzCarl-Johan BoraxbekkHenrik LundellHartwig Roman SiebnerEsben Thade PetersenKristoffer Hougaard MadsenPublished in: Comput. Methods Programs Biomed. (2024)
Keyphrases
- end to end
- deep learning
- white matter
- gray matter
- cerebrospinal fluid
- corpus callosum
- grey matter
- magnetic resonance images
- human brain
- partial volume effects
- diffusion tensor images
- unsupervised learning
- diffusion tensor
- mr images
- machine learning
- brain mr images
- diffusion tensor imaging
- multiscale
- magnetic resonance
- weakly supervised
- brain tissue
- image segmentation
- brain structures
- partial volume
- medical images
- level set
- segmentation method
- segmentation algorithm
- brain tumors
- accurate segmentation
- three dimensional
- medical imaging
- image analysis
- tensor field
- ground truth
- mental models
- information processing
- edge detection
- shape prior