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    Identification of Melanocytic Skin Lesions Using Deep Learning Methods
    (Wydawnictwo Politechniki Łódzkiej, 2023) Paja, Wiesław; Szkoła, Jarosław; Pancerz, Krzysztof; Sarzyński, Jaromir; Żychowska, Małgorzata
    Detection of skin cancer at an early stage is a priority in the fight to reduce mortality. The aim of the paper is to develop a method of computer aided diagnosis of melanocytic skin lesions through analysis of dermatoscopic images using deep NN methods. In particular, the goal is to use the multiple binary CNN model approach. The results obtained are much better in distinguishing between categories of lesions compared to the model built on the entire 7-class image database.