Joint Semi-supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling.
Zhengfeng LaiChao WangLuca Cerny OliveiraBrittany N. DuggerSen-Ching Samson CheungChen-Nee ChuahPublished in: ICCVW (2021)
Keyphrases
- cost effective
- active learning
- semi supervised
- segmentation algorithm
- segmentation method
- image analysis
- test images
- accurate segmentation
- image data
- input image
- ground truth
- segmentation errors
- adaptive thresholding
- grey level
- pixel wise
- segmented images
- image segmentation
- image retrieval
- low cost
- image regions
- supervised learning
- cost effectiveness
- pixel level
- multiple objects
- labeled data
- segmentation accuracy
- image registration
- image segmentations
- label propagation
- automatically segmented
- fully automatic
- unlabeled data
- semi supervised learning
- edge detection
- image features
- manual labeling
- labeled examples
- level set
- microscopy images
- training set
- real time
- object segmentation
- learning algorithm
- object recognition
- sample selection
- segmented regions
- skin lesion
- multi view
- graph cuts
- shape prior
- automatic segmentation