Using KullBack-Liebler Divergence Based Meta-learning Algorithm for Few-Shot Skin Cancer Image Classification: Literature Review and a Conceptual Framework.
Olusoji B. AkinrinadeChunglin DuSamuel AjilaPublished in: ICACDS (2) (2022)
Keyphrases
- conceptual framework
- literature review
- image classification
- skin cancer
- learning algorithm
- visual features
- early detection
- kl divergence
- malignant melanoma
- case study
- theoretical framework
- automated segmentation
- feature extraction
- machine learning
- business models
- training data
- image features
- conceptual model
- skin lesion
- real world
- breast cancer
- ground truth
- image processing
- early diagnosis
- knowledge base