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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.
Towards Ontology-Driven Verification of Car Claims Settlement
(Wydawnictwo Politechniki Łódzkiej, 2023) Pancerz, Krzysztof; Wolski, Jacek
In the paper, we outline an intelligent tool enabling the users to automatize the process of verification of the car claims settlement. Two data sources power the tool. The first one is the source of car images in which damaged elements are recognized. The second one is the source of PDF files in which cost estimates are extracted. The designed ontology of car repair, described in the paper, is used both in the pre-processing step and in recognition of a typical situations.