Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound.
Fausto MilletariSeyed-Ahmad AhmadiChristine KrollAnnika PlateVerena E. RozanskiJuliana MaiostreJohannes LevinOlaf DietrichBirgit Ertl-WagnerKai BötzelNassir NavabPublished in: Comput. Vis. Image Underst. (2017)
Keyphrases
- deep learning
- carotid artery
- medical images
- brain regions
- brain images
- unsupervised feature learning
- brain tissue
- unsupervised learning
- ultrasound images
- medical imaging
- brain tumors
- magnetic resonance imaging
- segmentation algorithm
- machine learning
- weakly supervised
- segmentation method
- mental models
- deep architectures
- level set
- fully automatic
- image segmentation
- human brain
- magnetic resonance images
- region growing
- shape prior
- mr images
- edge detection
- multiscale
- object segmentation
- deformable models
- energy function
- bounding box
- white matter
- mri data
- higher order
- supervised learning
- semi supervised
- probabilistic model
- computer vision