MSNSegNet: attention-based multi-shape nuclei instance segmentation in histopathology images.
Ziniu QianZihua WangXin ZhangBingzheng WeiMaode LaiJianzhong ShouYubo FanYan XuPublished in: Medical Biol. Eng. Comput. (2024)
Keyphrases
- histopathology images
- shape prior
- segmentation method
- microscopic images
- microscopy images
- shape model
- segmentation algorithm
- level set
- image segmentation
- robust segmentation
- cell nuclei
- global shape
- energy functional
- graph cuts
- skeleton extraction
- multiscale
- remote sensed images
- region growing
- shape matching
- confocal images
- active shape
- perceptual grouping
- medical images
- object shape
- region based segmentation
- variational framework
- active contours
- shape descriptors
- shape analysis
- image analysis
- maximum likelihood criterion
- white blood cells
- energy function
- statistical shape model
- shape representation
- object segmentation
- microscope images
- fully automatic
- shape decomposition
- region merging
- prostate segmentation
- shape features
- brain structures
- shape constraints
- appearance cues
- video objects
- edge detection
- quantitative analysis