Assessing Bias in Skin Lesion Classifiers With Contemporary Deep Learning and Post-Hoc Explainability Techniques.
Adam CorbinOge MarquesPublished in: IEEE Access (2023)
Keyphrases
- deep learning
- post hoc
- skin lesion
- unsupervised feature learning
- unsupervised learning
- support vector
- skin cancer
- decision trees
- malignant melanoma
- machine learning
- extracted features
- mental models
- training data
- digital image processing
- weakly supervised
- training set
- naive bayes
- co occurrence
- supervised learning
- object detection
- high dimensional
- feature extraction