DU-Net Based Unsupervised Contrastive Learning for Cancer Segmentation in Histology Images.
Yilong LiYaqi WangHuiyu ZhouHuaqiong WangGangyong JiaQianni ZhangPublished in: ICIRA (4) (2022)
Keyphrases
- segmentation algorithm
- image analysis
- image database
- ground truth
- input image
- supervised learning
- segmentation method
- unsupervised learning
- image data
- edge detection
- learning algorithm
- fully automatic
- image features
- tubular structures
- piece wise
- three dimensional
- test images
- segmentation errors
- segmentation accuracy
- segmented images
- pixel wise
- perceptual information
- image regions
- image classification
- multiple objects
- level set
- weakly supervised
- image registration
- semi supervised
- microscopic images
- multiscale
- image segmentation