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Visual saliency based global-local feature representation for skin cancer classification
2020
IET Image Processing
With the rapid increase in the cases of deadly skin cancer, the classification on different types of skin cancer has been emerging as one of the most significant issues in the field of medical image. Several approaches have been proposed to help in diagnosing the categories of the skin lesions by means of traditional features or leveraging the widely used deep learning models. However, there are lack of the integrated frameworks to combine the hand-crafted traditional features and the deep
doi:10.1049/iet-ipr.2019.1018
fatcat:mhhqn6nsuzhstkn5qp4rcxxcae