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dc.contributor.authorWijesinghe
dc.contributor.authorLAN
dc.contributor.authorKulasekera
dc.contributor.authorDMR
dc.contributor.authorIlmini
dc.contributor.authorWMKS
dc.date.accessioned2019-11-22T12:44:15Z
dc.date.available2019-11-22T12:44:15Z
dc.date.issued2019
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/2283
dc.description.abstractSkin disease is a common issue faced by many in our society. It often decreases the quality of life and may lead to a disability. Recent AI advancements offers to help people with poor access to skin disease specialists, by identifying skin diseases. An artificially intelligent skin disease identifier will provide the opportunity of an early treatment and a timely recovery to people lacking access to skin disease specialists. AI techniques, including image processing and machine learning, have been explored by researchers in recent decades to intelligently identify skin diseases. This paper presents an in-depth review of the image processing and machine learning techniques used thus far. The aim of this review is to facilitate better and improved approaches.
dc.language.isoenen_US
dc.subjectImage Processingen_US
dc.subjectMachine Learningen_US
dc.subjectSkin Diseasesen_US
dc.titleResearch Directions for Skin Disease Identification Using Image Processing and Machine Learningen_US
dc.typeArticle Full Texten_US
dc.identifier.journalKDUIRC-2019en_US
dc.identifier.pgnos417-423en_US


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