Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10255018" target="_blank" >RIV/61989100:27240/24:10255018 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s00403-024-02828-1" target="_blank" >https://link.springer.com/article/10.1007/s00403-024-02828-1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00403-024-02828-1" target="_blank" >10.1007/s00403-024-02828-1</a>
Alternative languages
Result language
angličtina
Original language name
Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Archives of Dermatological Research
ISSN
0340-3696
e-ISSN
1432-069X
Volume of the periodical
316
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
17
Pages from-to
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UT code for WoS article
001176065900002
EID of the result in the Scopus database
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