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Department of Cybernetics and Biomedi... 1 Faculty of Electrical Engineering Aut... 1 Faculty of Medicine Wroclaw Medical U... 1 Faculty of Natural Sciences and Techn... 1 Institute of Computer Science Kazimie... 1 Institute of Computer Science Univers... 1 Neuropsychological Research Unit 2nd ... 1 School of Computing and Mathematical ... 1
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- Zeměpisné označení
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- Autor
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Pracoviště
Department of Cybernetics and Biomedi... 1 Faculty of Electrical Engineering Aut... 1 Faculty of Medicine Wroclaw Medical U... 1 Faculty of Natural Sciences and Techn... 1 Institute of Computer Science Kazimie... 1 Institute of Computer Science Univers... 1 Neuropsychological Research Unit 2nd ... 1 School of Computing and Mathematical ... 1
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- Zeměpisné označení
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- Myslicka, Maria
- Kawala-Sterniuk, Aleksandra
- Bryniarska, Anna
- Sudol, Adam
- Podpora, Michal
- Gasz, Rafal
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Martinek, Radek
Autor Martinek, Radek Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Proszkowska 76, 45-758, Opole, Poland Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, 17. Listopadu 2172/15, Ostrava, 70800, Czech Republic
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Kahankova Vilimkova, Radana
Autor Kahankova Vilimkova, Radana Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Proszkowska 76, 45-758, Opole, Poland Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, 17. Listopadu 2172/15, Ostrava, 70800, Czech Republic
- Vilimek, Dominik
- Pelc, Mariusz
This paper presents the most current and innovative solutions applying modern digital image processing methods for the purpose of skin cancer diagnostics. Skin cancer is one of the most common types of cancers. It is said that in the USA only, one in five people will develop skin cancer and this trend is constantly increasing. Implementation of new, non-invasive methods plays a crucial role in both identification and prevention of skin cancer occurrence. Early diagnosis and treatment are needed in order to decrease the number of deaths due to this disease. This paper also contains some information regarding the most common skin cancer types, mortality and epidemiological data for Poland, Europe, Canada and the USA. It also covers the most efficient and modern image recognition methods based on the artificial intelligence applied currently for diagnostics purposes. In this work, both professional, sophisticated as well as inexpensive solutions were presented. This paper is a review paper and covers the period of 2017 and 2022 when it comes to solutions and statistics. The authors decided to focus on the latest data, mostly due to the rapid technology development and increased number of new methods, which positively affects diagnosis and prognosis.
- MeSH
- kůže MeSH
- lidé MeSH
- nádory kůže * diagnóza epidemiologie MeSH
- počítačové zpracování obrazu MeSH
- umělá inteligence * MeSH
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- lidé MeSH
- Publikační typ
- časopisecké články MeSH
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