Genetic programming for automatic skin cancer image classification

Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang

Abstract: Highlights•Proposed methods construct new models with texture, color, and wavelet features.•Evolved features are highly informative to discriminate between skin image classes.•New features improve classification accuracy, efficient in real-time clinic situation.•Identify prominent visual features to help the dermatologist in making a diagnosis.•Achieved 86.77% accuracy on difficult dataset, outperforming the state-of-the-arts.