CaMeL-Net: Centroid-aware metric learning for efficient multi-class cancer classification in pathology images.
Jaeung LeeChiwon HanKyungeun KimGi-Ho ParkJin Tae KwakPublished in: Comput. Methods Programs Biomed. (2023)
Keyphrases
- multi class
- metric learning
- pairwise
- multi task
- cancer classification
- image classification
- semi supervised
- input image
- distance metric
- support vector machine
- feature selection
- image features
- object recognition
- cost sensitive
- data mining
- text mining
- microarray
- similarity measure
- image processing
- data sets
- random forest
- gene selection