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- W4385576384 abstract "Abstract: Melanoma, sometimes referred to as skin cancer, is one of the most severe forms of skin disease. Applying UV radiation to the skin effects or modifies the melanocytes, leading to uncontrolled cell growth and skin burning or shading. Some skin conditions, however less frequent than others, are still harmful because, if untreated, they will probably worsen and spread. Early on, it might not get the proper care. A biopsy is the standard procedure for finding skin cancer and it entails scraping out the patient's skin lesion and sending it for laboratory testing. This strategy is uncomfortable, difficult, and tiresome. A dermatologist must put a lot of work into treating skin cancer from melanoma. In this study, a novel approach is used to detect skin cancer using machine learning. Dermoscopy images of melanoma cancer make it easier and less tedious to detect skin cancer." @default.
- W4385576384 created "2023-08-05" @default.
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- W4385576384 date "2023-07-30" @default.
- W4385576384 modified "2023-09-27" @default.
- W4385576384 title "Classification & Detection of Melanoma Skin Cancer in Early Stages Using CNN" @default.
- W4385576384 doi "https://doi.org/10.22214/ijraset.2023.55143" @default.
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