Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma.
Nayara Holanda de MouraRodrigo M. S. VerasKelson Rômulo Teixeira AiresVinícius P. MachadoRomuere R. V. e SilvaFlávio H. D. AraújoMaíla de Lima ClaroPublished in: ISCC (2018)
Keyphrases
- transfer learning
- texture features
- automatic diagnosis
- feature vectors
- knowledge transfer
- texture analysis
- early detection
- gabor filters
- active learning
- image features
- cross domain
- labeled data
- gray level
- distance measure
- semi supervised learning
- texture images
- machine learning
- transfer knowledge
- reinforcement learning
- collaborative filtering
- machine learning algorithms
- texture feature extraction
- text classification
- feature extraction
- feature set
- learning algorithm
- text categorization
- textured images
- early diagnosis
- text mining
- spect images
- association rules
- image analysis
- image segmentation
- data points
- breast cancer
- input image
- medical images