On modern methods of automated diagnosis of skin tumors in clinical practice-Reference-Cited by-同舟云学术

On modern methods of automated diagnosis of skin tumors in clinical practice

Published:2020-06-16 Issue:6 Volume: Page:76-78
ISSN:2078-5631
Container-title:Medical alphabet
language:
Short-container-title:Medicinskij alfavit

Author:

Sergeev V. Yu.¹,Sergeev Yu. Yu.¹,Tamrazova O. B.²,Nikitaev V. G.³,Pronichev A. N.³

Affiliation:

1. Central State Medical Academy of the Administrative Department of the President of Russia

2. People’s Friendship University of Russia

3. National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)

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.

Publisher

Alfmed LLC

Subject

Materials Chemistry,Economics and Econometrics,Media Technology,Forestry

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