Colorectal Polyp Classification Based On Latent Sharing Features Domain from Multiple Endoscopy Images.
Hiroyasu UsamiYuji IwahoriYoshinori AdachiManas Kamal BhuyanAili WangSatoshi InoueMasahide EbiNaotaka OgasawaraKunio KasugaiPublished in: KES (2020)
Keyphrases
- extracting features
- image features
- correct classification rate
- image classification
- extracted features
- feature representation
- classification accuracy
- visual object recognition
- feature vectors
- original images
- test images
- class specific
- image data
- feature extraction
- multiple classifiers
- feature space
- classification method
- classification models
- feature set
- textural features
- image database
- input image
- discriminative features
- object recognition
- svm classifier
- individual features
- spatial information
- handwritten digits
- image analysis
- support vector
- gray level co occurrence matrix
- skin lesion
- decision trees
- discriminative classifiers
- feature selection
- class labels
- classification process
- gabor filters
- category labels
- image set
- image matching
- image retrieval
- highly discriminative
- multiple objects
- support vector machine svm
- low level
- image registration
- edge detection
- image regions
- video images
- feature subset
- text classification
- single feature
- fisher linear discriminant
- spatially localized
- feature descriptors