Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder.
Xingyu LiMarko RadulovicKsenija KanjerKonstantinos N. PlataniotisPublished in: IEEE Access (2019)
Keyphrases
- pattern mining
- breast cancer
- image classification
- sparse coding
- feature extraction
- restricted boltzmann machine
- diagnosis of breast cancer
- early detection
- breast cancer diagnosis
- frequent pattern mining
- pattern discovery
- logistic regression
- data mining
- computer aided diagnosis
- survival analysis
- frequent patterns
- graph mining
- sequential patterns
- computer aided detection
- data mining techniques
- semi supervised
- cad systems
- itemsets
- mammogram images
- image features
- domain driven
- bladder cancer
- visual words
- computer aided
- biological networks
- breast tissue
- feature space
- decision trees
- breast cancer patients
- breast cancer detection
- learning algorithm
- information retrieval