CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI.
Dennis BontempiSergio BeniniAlberto SignoroniMichele SvaneraLars MuckliPublished in: Medical Image Anal. (2020)
Keyphrases
- brain structures
- weakly supervised
- magnetic resonance images
- human brain
- mr images
- medical imaging
- quantitative analysis
- medical image analysis
- atlas based segmentation
- shape analysis
- brain atlas
- medical images
- superpixels
- topic models
- shape variations
- object class
- relation extraction
- anatomical structures
- magnetic resonance imaging
- motion estimation
- semi supervised
- bit rate
- image processing
- deformable models
- three dimensional
- user interaction
- computer vision
- multiscale
- manual segmentation
- object detectors
- object segmentation
- natural images
- segmentation algorithm