DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation in Histology Images.
Yilong LiYaqi WangHuiyu ZhouHuaqiong WangGangyong JiaQianni ZhangPublished in: CoRR (2022)
Keyphrases
- segmentation method
- segmentation algorithm
- image data
- test images
- image analysis
- learning algorithm
- unsupervised learning
- microscopic images
- edge detection
- supervised learning
- multiple objects
- input image
- image features
- image database
- medical images
- image classification
- segmentation accuracy
- object recognition
- fully automatic
- image segmentation
- automatically segmented
- accurate segmentation
- microscopy images
- energy function
- ground truth
- three dimensional
- region growing
- weakly supervised
- level set
- image registration
- multiscale
- unlabeled images
- tubular structures