Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer.
Simon M. ThomasJames G. LefevreGlenn W. BaxterNicholas A. HamiltonPublished in: Medical Image Anal. (2021)
Keyphrases
- learning systems
- multi class
- pigmented skin lesions
- skin cancer
- skin lesion
- malignant melanoma
- automated segmentation
- support vector machine
- early detection
- multi class classifier
- multiclass classification
- multi class classification
- multiple classes
- binary classifiers
- cost sensitive
- multi class boosting
- machine learning
- binary and multi class
- image analysis
- learning styles
- learning process
- error correcting output codes
- learning environment
- dermoscopy images
- feature selection
- segmentation algorithm
- binary classification
- binary classification problems
- computer aided
- pairwise
- image segmentation
- segmentation method
- level set
- object detection
- digital image processing
- medical images
- classification accuracy
- feature vectors
- face recognition