Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis.
Xiaoshuang ShiHai SuFuyong XingYun LiangGang QuLin YangPublished in: Medical Image Anal. (2020)
Keyphrases
- label propagation
- semi supervised
- convolutional neural network
- image analysis
- semi supervised learning
- semi supervised classification
- graph construction
- active learning
- labeled data
- pairwise
- unlabeled data
- pairwise constraints
- label information
- face detection
- labeled graphs
- unlabeled samples
- supervised learning
- computer vision
- labeled examples
- partially labeled
- fully supervised
- random walk
- co training
- graph theory
- edge weights
- multi label classification
- spanning tree
- neural network
- predictive accuracy
- noisy data
- label noise
- spatio temporal
- pattern recognition
- named entity recognition
- labeled samples
- bipartite graph
- graph databases
- directed graph
- multi view
- training data
- image segmentation
- semi supervised clustering
- partially labeled data
- weakly supervised
- prostate cancer
- multiple instance learning
- temporal patterns
- metric learning
- weighted graph
- graph structure
- temporal reasoning
- temporal information
- class labels
- training examples
- learning algorithm