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Melanoma Skin Cancer Detecting System Using Deep Learning

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dc.contributor.author Kulasekara, Sahas
dc.date.accessioned 2024-04-22T06:27:00Z
dc.date.available 2024-04-22T06:27:00Z
dc.date.issued 2023
dc.identifier.citation Kulasekara, Sahas (2023) Melanoma Skin Cancer Detecting System Using Deep Learning. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 20191223
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2032
dc.description.abstract "This project aims to provide a cost-free self-examination opportunity for those who suspect they might have such a disease. Furthermore, it raises awareness about other types of skin cancers. If the test results indicate a possible melanoma condition, individuals are encouraged to seek their first consultation with a dermatologist. By detecting the disease early, prompt treatment can be initiated. Moreover, existing apps for such purposes are often overly complex, resulting in poor user experience. In contrast, this application has been designed to be easily accessible and understandable for individuals of all ages and levels of awareness. Through this project, individuals who may not prioritize their health can gain understanding about this issue, save significant amounts of money and time by obtaining more accurate results, increase their knowledge about different skin cancers, and become informed about preventive measures to reduce the risk of such diseases. Additionally, by obtaining proper medical support, potential issues can be identified early and effectively addressed." en_US
dc.language.iso en en_US
dc.subject Healthcare en_US
dc.subject Melanoma en_US
dc.subject Deep Learning en_US
dc.title Melanoma Skin Cancer Detecting System Using Deep Learning en_US
dc.type Thesis en_US


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