Multi-class semantic cell segmentation and classification of aplasia in bone marrow histology images.
Leander van EekelenHans PinckaersKonnie M. HebedaGeert LitjensPublished in: Medical Imaging: Digital Pathology (2020)
Keyphrases
- multi class
- cell segmentation
- multi class classification
- support vector machine
- multi class classifier
- image classification
- binary classifiers
- binary and multi class
- multiple classes
- cost sensitive
- input image
- multi class boosting
- error correcting output codes
- feature selection
- image data
- support vector
- low contrast
- bone marrow
- microscope images
- object detection
- image features
- pairwise
- quantitative analysis
- cancer cells
- decision trees
- clinical applications
- feature vectors
- machine learning
- multi class problems
- data sets
- similarity measure
- feature set
- image registration
- feature space
- classification accuracy
- microscopy images
- skin lesion
- base classifiers
- co occurrence