Training Data Selection to Improve Multi-class Instance Segmentation in Digital Pathology.
Laura Gálvez JiménezAlberto FranzinChristine DecaesteckerPublished in: ICBRA (2023)
Keyphrases
- multi class
- training data
- support vector machine
- object detection
- binary classification
- cost sensitive
- decision trees
- multiclass problems
- multi class classification
- single class
- binary classifiers
- multi class classifier
- error correcting output codes
- image segmentation
- segmentation algorithm
- energy function
- data sets
- base classifiers
- multi class svm
- multi class problems
- multi class boosting
- classification accuracy
- training set
- learning algorithm
- test data
- kernel logistic regression
- multi class object detection
- multi task
- supervised learning
- image processing
- feature selection
- neural network