DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H&E whole-slide images.
Yoni SchirrisEfstratios GavvesIris NederlofHugo Mark HorlingsJonas TeuwenPublished in: CoRR (2021)
Keyphrases
- multiple instance learning
- image categorization
- object based image retrieval
- image annotation
- multiple instance
- image database
- image analysis
- image retrieval
- image data
- image features
- small number
- object recognition
- defect classification
- semi supervised
- image understanding
- image classification
- supervised learning
- multi class
- video data
- image matching
- semi supervised learning
- image recognition
- text based image retrieval
- feature extraction