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Research Directions for Skin Disease Identification Using Image Processing and Machine Learning

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dc.contributor.author Wijesinghe
dc.contributor.author LAN
dc.contributor.author Kulasekera
dc.contributor.author DMR
dc.contributor.author Ilmini
dc.contributor.author WMKS
dc.date.accessioned 2019-11-22T12:44:15Z
dc.date.available 2019-11-22T12:44:15Z
dc.date.issued 2019
dc.identifier.uri http://ir.kdu.ac.lk/handle/345/2283
dc.description.abstract Skin 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.iso en en_US
dc.subject Image Processing en_US
dc.subject Machine Learning en_US
dc.subject Skin Diseases en_US
dc.title Research Directions for Skin Disease Identification Using Image Processing and Machine Learning en_US
dc.type Article Full Text en_US
dc.identifier.journal KDUIRC-2019 en_US
dc.identifier.pgnos 417-423 en_US


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