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Detecting Skin Diseases Along with Microorganisms & Recommending Ayurvedic Remedies

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dc.contributor.author Nirogene, Lucia
dc.date.accessioned 2024-04-25T09:36:15Z
dc.date.available 2024-04-25T09:36:15Z
dc.date.issued 2023
dc.identifier.citation Nirogene, Lucia (2023) Detecting Skin Diseases Along with Microorganisms & Recommending Ayurvedic Remedies. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2019257
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2059
dc.description.abstract "The increasing frequency of skin disorders, as well as their far-reaching effects on people's quality of life, need the development of an efficient, accurate, and easily accessible tool for early detection and diagnosis. Traditionally, skin disease diagnosis has relied significantly on dermatologist knowledge, which may be costly and time-consuming. Furthermore, the paucity of dermatologists in distant places and underdeveloped nations makes prompt and correct diagnosis difficult for many people. The complicated structure of skin illnesses, with similar visual characteristics shared by diverse diseases, makes diagnosis difficult, even for skilled dermatologists. The goal was to create a system capable of automatically and accurately identifying a variety of common skin illnesses using artificial intelligence." en_US
dc.language.iso en en_US
dc.subject VGG-19 en_US
dc.subject Dermatology en_US
dc.subject Transfer Learning en_US
dc.title Detecting Skin Diseases Along with Microorganisms & Recommending Ayurvedic Remedies en_US
dc.type Thesis en_US


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