UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images.
Zhen ChenQing XuXinyu LiuYixuan YuanPublished in: CoRR (2024)
Keyphrases
- microscopic images
- segmentation method
- microscopy images
- segmentation algorithm
- cell nuclei
- image analysis
- test images
- fully automatic
- quantitative evaluation
- image database
- segmentation errors
- input image
- accurate segmentation
- image data
- edge detection
- segmentation accuracy
- microscope images
- pixel level
- three dimensional
- image retrieval
- image features
- pixel wise
- ground truth
- unsupervised segmentation
- image registration
- grey level
- segmented images
- image segmentation
- level set
- adaptive thresholding
- object segmentation
- image slices
- cardiac magnetic resonance
- brain mr images
- low depth of field
- image regions
- multiscale
- energy function
- piece wise
- object recognition
- intensity images
- medical images
- shape prior
- region growing
- watershed transform
- automated analysis
- image segments
- positron emission tomography
- multiple objects
- automatically segmented
- fundamental problem in computer vision
- confocal images
- graph cuts