Enhanced three-dimensional U-Net with graph-based refining for segmentation of gastrointestinal stromal tumours.
Qiong WangZhipeng LiWanqing ZhaoHao WuFei XieZiyu GuanWei ZhaoPublished in: IET Comput. Vis. (2021)
Keyphrases
- three dimensional
- image segmentation
- segmentation algorithm
- level set
- medical images
- brain mri
- segmentation accuracy
- d objects
- volumetric images
- segmentation errors
- computed tomography
- shape prior
- segmentation method
- multiscale
- multi view
- semi supervised
- image sequences
- imaging modalities
- ct images
- normalized cut
- image analysis
- graph model
- image processing
- fully unsupervised
- grey level
- segmented images
- active contours
- fully automatic
- medical imaging
- mr images
- x ray
- virtual reality