Towards Neuron Segmentation from Macaque Brain Images: A Weakly Supervised Approach.
Meng DongDong LiuZhiwei XiongXuejin ChenYueyi ZhangZheng-Jun ZhaGuoqiang BiFeng WuPublished in: MICCAI (5) (2020)
Keyphrases
- brain images
- weakly supervised
- medical images
- mr brain images
- superpixels
- magnetic resonance
- object class
- segmentation algorithm
- human brain
- relation extraction
- topic models
- medical imaging
- object segmentation
- level set
- segmentation method
- deformable models
- named entities
- image segmentation
- shape prior
- semi supervised
- mr images
- image data
- white matter
- bounding box
- magnetic resonance images
- human subjects
- object detection
- energy function
- multiscale
- three dimensional
- long range
- markov random field
- information extraction
- question answering
- probabilistic model