A Platform for Collecting Dermatoscopic Images of Patients’ Neoplasms
Alexander Vasilevich KOZACHOK,
Andrei Andreevich SPIRIN,
Kirill Vyacheslavovich ELETSKIY,
Elena Sergeevna KOZACHOK https://doi.org/10.15514/ISPRAS-2024-36(3)-18
Abstract
The article deals with the formation of a domestic dataset of dermatoscopic images of skin neoplasms of patients, the requirements for metadata and photographs are formed, the existing data sets most popular in the scientific community for building machine learning models for the classification of dermatoscopic images are described. The architecture of the developed platform for data collection of dermatoscopic images of skin neoplasms of patients from the Russian Federation is described.
Keywords
dermatoscopy,
machine learning models,
classification of dermatoscopic images,
early detection of melanoma and skin cancer
Supporting agencies: The research was supported by the Foundation for the Promotion of Innovation (Agreement No. 0091114).
About the Authors
Alexander Vasilevich KOZACHOK
Institute for System Programming of the Russian Academy of Sciences
Russian Federation
Russian Federation
Dr. Sci. (Tech.), associate professor, head of the laboratory of secure software and data analysis of the Institute for system programming of the RAS. Research interests: information security methods and systems, cybersecurity, machine learning, data analysis.
Andrei Andreevich SPIRIN
Institute for System Programming of the Russian Academy of Sciences
Russian Federation
Russian Federation
Cand. Sci. (Tech.), research associate of the Ivannikov institute for system programming of the Russian academy of sciences. His research interests include pattern recognition, artificial intelligence systems.
Kirill Vyacheslavovich ELETSKIY
Institute for System Programming of the Russian Academy of Sciences
Russian Federation
Russian Federation
Specialist in the Laboratory of Secure Software and Data Analysis at the Ivannikov Institute for System Programming of the Russian Academy of Sciences. His research interests include the design of pattern recognition systems, automatic computer diagnostics systems, and solving machine learning problems, residual class systems.
Elena Sergeevna KOZACHOK
Institute for System Programming of the Russian Academy of Sciences
Russian Federation
Russian Federation
Specialist of the Department of system programming of CMC of Lomonosov Moscow State University. Her research interests include pattern recognition, residual class systems.
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Review
For citations:
KOZACHOK A.V., SPIRIN A.A., ELETSKIY K.V., KOZACHOK E.S. A Platform for Collecting Dermatoscopic Images of Patients’ Neoplasms. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2024;36(3):259-272. (In Russ.) https://doi.org/10.15514/ISPRAS-2024-36(3)-18
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