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Survey paper based critical reviews for Cosmetic Skin Diseases

Authors :
Dhananjay Kalbande
Shwetambari Borade
Source :
2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS).
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

Prediction and detection of skin diseases have always been a challenging and critical task for health care professionals. There are many clinics and skin practitioners who are offering their services at exorbitant costs. At the same time, skin condition prevails in our country in every part. In the current scenario majority of the skincare practitioners are using traditional methods to diagnose the disease which may take a considerable amount of time. Skin Diseases are serious problems in recent times as it is a matter of environmental factors, socioeconomic factors, lack of full diet, etc. This paper is a comparative study about understanding various skin diseases related to normal skin issues as well as cosmetology. A comparison between oily, dry, and normal skin is also projected in this study. A survey of different papers is done on basis of technologies used, results with accuracy, ethical conduct, number of diseases diagnosed, datasets, etc are done.

Details

Database :
OpenAIRE
Journal :
2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS)
Accession number :
edsair.doi...........f7c3a4ba05773df56ff8abd3d2333486