On modern methods of automated diagnosis of skin tumors in clinical practice
https://doi.org/10.33667/2078-5631-2020-6-76-78
Abstract
Despite the existence of many algorithms for automated diagnosis of melanoma and other skin cancers, these remain almost inaccessible to public health service. A small number of publications on the efficacy of existing artificial intelligence systems marks the problems of their implementation into current examination routines in dermatology and oncology. New algorithms and software solutions as well as studies demonstrating their diagnostic accuracy on compatible and verifiable clinical material are still in demand.
About the Authors
V. Yu. Sergeev
Central State Medical Academy of the Administrative Department of the President of Russia
Russian Federation
Russian Federation
Moscow
Yu. Yu. Sergeev
Central State Medical Academy of the Administrative Department of the President of Russia
Russian Federation
Russian Federation
Moscow
O. B. Tamrazova
People’s Friendship University of Russia
Russian Federation
Russian Federation
Moscow
V. G. Nikitaev
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
Moscow
A. N. Pronichev
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
Moscow
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Review
For citations:
Sergeev V.Yu., Sergeev Yu.Yu., Tamrazova O.B., Nikitaev V.G., Pronichev A.N. On modern methods of automated diagnosis of skin tumors in clinical practice. Medical alphabet. 2020;(6):76-78. (In Russ.) https://doi.org/10.33667/2078-5631-2020-6-76-78
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