Swin Transformer based detection and segmentation networks for measurement and quantification analysis of arteriolar vessels from renal whole slide images.
Chenyang ZhouXueyu LiuShaohua LiangYexin LaiMiao CheMing LiZhenhuan XuShu FengYongfei WuPublished in: Biomed. Signal Process. Control. (2024)
Keyphrases
- image analysis
- segmentation method
- spot detection
- tubular structures
- segmentation algorithm
- quantitative evaluation
- test images
- image data
- segmentation errors
- input image
- ground truth
- edge detection
- automated analysis
- cell segmentation
- pixel wise
- segmented images
- image regions
- computed tomography angiography
- detection rate
- medical images
- image registration
- complex background
- accurate segmentation
- pixel level
- lymph nodes
- low signal to noise ratio
- intensity variations
- automatically segmented
- image segmentation
- bounding box
- fully automatic
- vessel segmentation
- vessel detection
- object recognition
- image retrieval
- line extraction
- segmentation accuracy
- region of interest
- cell nuclei
- microscopy images
- image segments
- image features
- blood vessels
- image processing
- grey level