Towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data.
Florian KowarschLisa WeijlerMatthias WödlingerMichael ReiterMargarita Maurer-GranofszkyAngela SchumichElisa O. SajaroffStefanie Groeneveld-KrentzJorge G. RossiLeonid KarawajewRichard RateiMichael N. DworzakPublished in: iMIMIC@MICCAI (2022)
Keyphrases
- classification accuracy
- classification scheme
- feature extraction
- pattern recognition
- image classification
- automatic classification
- pattern classification
- classification method
- feature vectors
- supervised learning
- classification process
- classification algorithm
- feature space
- decision trees
- supervised classification
- object classification
- svm classifier
- decision rules
- computer vision
- document classification
- feature selection
- correct classification
- class labels
- benchmark datasets
- rough sets
- training set