A-ReSEUnet: Achieve no-label binary segmentation of nuclei in histology images.
Jui-Hung ChangPei-Hsuan WuTi-Hao WangPau-Choo ChungPublished in: Knowl. Based Syst. (2024)
Keyphrases
- microscopic images
- segmentation method
- microscopy images
- segmentation algorithm
- cell nuclei
- image analysis
- test images
- segmented images
- image regions
- accurate segmentation
- grey level
- microscope images
- edge detection
- three dimensional
- image segmentation
- unsupervised segmentation
- image data
- input image
- segmentation errors
- image slices
- quantitative evaluation
- image features
- ground truth
- image retrieval
- region growing
- image registration
- piece wise
- object recognition
- segmentation accuracy
- tubular structures
- pixel wise
- intensity images
- pixel level
- fully automatic
- shape prior
- adaptive thresholding
- image segments
- automatically segmented
- mouse brain
- low depth of field
- image segmentation algorithms
- image database
- gray value
- image classification
- multiple objects
- automatic segmentation
- medical images
- automated analysis
- foreground and background
- mr images
- multi label
- white blood cells
- multiscale