Open AccessOn modern methods of automated diagnosis of skin tumors in clinical practice
Author(s) -
В. Ю. Сергеев,
Ю. Ю. Сергеев,
О. Б. Тамразова,
В. Г. Никитаев,
А. Н. Проничев
Publication year - 2020
Publication title -
medicinskij alfavit
Language(s) - English
Resource type - Journals
eISSN - 2949-2807
pISSN - 2078-5631
DOI - 10.33667/2078-5631-2020-6-76-78
Subject(s) - verifiable secret sharing , clinical practice , medical physics , computer science , medicine , software , melanoma , skin cancer , service (business) , cancer , family medicine , programming language , cancer research , economy , set (abstract data type) , economics
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.