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Development of the Mobile Application for Assessing Facial Acne Severity from Photos

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dc.contributor.authorMalgina, E.
dc.contributor.authorKurochkina, M. -A.
dc.contributor.authorМальгина, Элина Александровна
dc.contributor.authorКурочкина, Мария-Анастасия Андреевна
dc.date.accessioned2024-11-29T15:24:09Z
dc.date.available2024-11-29T15:24:09Z
dc.date.issued2021
dc.description.abstract© 2021 IEEE.Acne is one of the most common skin diseases. The disease is observed in all age groups, but it mainly affects adolescent and young women. The severity of acne is usually accessed by dermatologists in a clinical setting. The goal of this work was to develop a machine learning model that can assess the severity of acne from photos as accurately as dermatologists do. The model is presented as a mobile application that provides users with an easy way to evaluate their treatment and predict the time required for full recovery. For the study, 166 images were taken, each labeled according to the severity of the disease from 1 to 4. However, convolutional neural networks, require much larger training sets. A regression model was used to predict treatment time. The development was based on the study "A computer vision application for assessing facial acne severity from selfie images".
dc.format.extentС. 1790-1793
dc.identifier.citationMalgina, E. Development of the Mobile Application for Assessing Facial Acne Severity from Photos / Malgina, E., Kurochkina, M.-A. // Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021. - 2021. - P. 1790-1793. - 10.1109/ElConRus51938.2021.9396382
dc.identifier.doi10.1109/ElConRus51938.2021.9396382
dc.identifier.urihttps://www.doi.org/10.1109/ElConRus51938.2021.9396382
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85104791329&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000669709801182
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/23977
dc.relation.ispartofProceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021
dc.titleDevelopment of the Mobile Application for Assessing Facial Acne Severity from Photos
dc.typeConference Paper
dspace.entity.typePublication
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