| dc.contributor.author | Jayasena, Ruchira | |
| dc.date.accessioned | 2025-06-16T04:33:51Z | |
| dc.date.available | 2025-06-16T04:33:51Z | |
| dc.date.issued | 2024 | |
| dc.identifier.citation | Jayasena, Ruchira (2024) Melanoma skin cancer detecting application. BSc. Dissertation, Informatics Institute of Technology | en_US |
| dc.identifier.issn | 20200464 | |
| dc.identifier.uri | http://dlib.iit.ac.lk/xmlui/handle/123456789/2559 | |
| dc.description.abstract | "The most deadly kind of skin cancer that is currently recognized is melanoma. If cancer is detected early on, before it spreads to other bodily parts, it can be cured. Melanoma skin cancer is detected normally using biopsy method which is an extremely painful and expensive method. Therefore most of the people who cannot afford it do not get the required tests done. Therefore this study focus on implementing a mobile application which can specifically detect melanoma skin cancer." | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Melanoma | en_US |
| dc.subject | Machine learning | en_US |
| dc.title | Melanoma skin cancer detecting application | en_US |
| dc.type | Thesis | en_US |