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Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes.
Myslicka, Maria; Kawala-Sterniuk, Aleksandra; Bryniarska, Anna; Sudol, Adam; Podpora, Michal; Gasz, Rafal; Martinek, Radek; Kahankova Vilimkova, Radana; Vilimek, Dominik; Pelc, Mariusz; Mikolajewski, Dariusz.
Afiliación
  • Myslicka M; Faculty of Medicine, Wroclaw Medical University, J. Mikulicza-Radeckiego 5, 50-345, Wroclaw, Poland. mariamyslicka38@gmail.com.
  • Kawala-Sterniuk A; Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Proszkowska 76, 45-758, Opole, Poland. kawala84@gmail.com.
  • Bryniarska A; Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Proszkowska 76, 45-758, Opole, Poland.
  • Sudol A; Faculty of Natural Sciences and Technology, University of Opole, Dmowskiego 7-9, 45-368, Opole, Poland.
  • Podpora M; Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Proszkowska 76, 45-758, Opole, Poland.
  • Gasz R; Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Proszkowska 76, 45-758, Opole, Poland.
  • Martinek R; Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Proszkowska 76, 45-758, Opole, Poland.
  • Kahankova Vilimkova R; Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, 17. Listopadu 2172/15, Ostrava, 70800, Czech Republic.
  • Vilimek D; Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Proszkowska 76, 45-758, Opole, Poland.
  • Pelc M; Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, 17. Listopadu 2172/15, Ostrava, 70800, Czech Republic.
  • Mikolajewski D; Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, 17. Listopadu 2172/15, Ostrava, 70800, Czech Republic.
Arch Dermatol Res ; 316(4): 99, 2024 Mar 06.
Article en En | MEDLINE | ID: mdl-38446274
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Inteligencia Artificial Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Arch Dermatol Res Año: 2024 Tipo del documento: Article País de afiliación: Polonia Pais de publicación: Alemania
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Inteligencia Artificial Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Arch Dermatol Res Año: 2024 Tipo del documento: Article País de afiliación: Polonia Pais de publicación: Alemania