SAMS-NET: Stain-aware multi-scale network for instance-based nuclei segmentation in histology images.
Simon GrahamNasir M. RajpootPublished in: ISBI (2018)
Keyphrases
- multiscale
- microscopic images
- segmentation method
- microscopy images
- edge detection
- segmentation algorithm
- cell nuclei
- multiple scales
- image analysis
- adaptive thresholding
- test images
- image segmentation
- segmented images
- grey level
- unsupervised segmentation
- accurate segmentation
- scale space
- fully automatic
- image registration
- pixel wise
- segmentation accuracy
- image data
- automatically segmented
- white blood cells
- image features
- mouse brain
- image segmentation algorithms
- segmentation scheme
- input image
- image regions
- natural images
- image database
- segmentation errors
- image retrieval
- microscope images
- quantitative evaluation
- three dimensional
- image structure
- knn
- keypoints
- graph cuts
- level set
- object recognition
- confocal images
- watershed transform
- pixel level
- ground truth
- low contrast
- object segmentation
- image processing
- region growing
- image representation
- medical images