A parasitic metric learning net for breast mass classification based on mammography.
Zhicheng JiaoXinbo GaoYing WangJie LiPublished in: Pattern Recognit. (2018)
Keyphrases
- metric learning
- breast cancer diagnosis
- digital mammograms
- distance metric learning
- nearest neighbor classification
- digital mammography
- breast cancer
- feature space
- machine learning and pattern recognition
- breast tissue
- distance metric
- early detection of breast cancer
- margin maximization
- pattern recognition
- computer aided diagnosis
- classification accuracy
- digitized mammograms
- machine learning
- breast cancer detection
- fully supervised
- mammographic images
- pairwise
- text classification
- decision trees
- learning tasks
- multi task
- data mining
- kernel learning
- support vector machine
- semi supervised
- distance function
- image classification
- feature vectors
- domain knowledge
- text mining
- euclidean distance
- unsupervised learning
- dimensionality reduction