Abstract
In the dermatology, Three-Point Checklist of Dermatology is defined and it is proved to be a sufficient screening method in the skin lesions assessments during the checking by dermatology expert. In the method there is a criterion of blue-whitish veil appearance within the lesion defined and it can be classified using a binary classifier. In the paper, we show the results of CNN application to the problem of the assessment of whether the blue-white veil is present or absent within the lesion using the pre-trained VGG19 CNN network, trained and tested on the prepared images taken from the PH2 dataset.
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Milczarski, P., Wąs, Ł. (2020). Blue-White Veil Classification in Dermoscopy Images of the Skin Lesions Using Convolutional Neural Networks. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2020. Lecture Notes in Computer Science(), vol 12415. Springer, Cham. https://doi.org/10.1007/978-3-030-61401-0_59
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