A comparative study of fourteen deep learning networks for multi skin lesion classification (MSLC) on unbalanced data.
Ginni AroraAshwani Kumar DubeyZainul Abdin JafferyÁlvaro RochaPublished in: Neural Comput. Appl. (2023)
Keyphrases
- unbalanced data
- deep learning
- skin lesion
- machine learning
- unsupervised learning
- pattern recognition
- malignant melanoma
- text classification
- feature vectors
- decision trees
- supervised learning
- image classification
- feature space
- training data
- training samples
- support vector machine svm
- digital image processing
- feature extraction
- ridge regression
- feature selection
- support vector machine
- svm classifier
- weakly supervised
- skin cancer