Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder.
Xingyu LiMarko RadulovicKsenija KanjerKonstantinos N. PlataniotisPublished in: CoRR (2019)
Keyphrases
- pattern mining
- breast cancer
- image classification
- sparse coding
- feature extraction
- restricted boltzmann machine
- diagnosis of breast cancer
- computer aided diagnosis
- early detection
- logistic regression
- data mining
- graph mining
- pattern discovery
- breast cancer diagnosis
- itemsets
- frequent patterns
- sequential patterns
- frequent pattern mining
- semi supervised
- computer aided detection
- mammogram images
- visual words
- data mining techniques
- bladder cancer
- survival analysis
- image features
- cancer patients
- feature selection
- classification accuracy
- breast cancer detection
- prostate cancer
- data mining methods
- unsupervised learning
- multi dimensional
- cad systems
- pairwise
- decision trees