Developing an efficient method for melanoma detection using CNN techniques

Viranchkumar Mayurbhai Kadia; Nikulkumar Vipinchandra Patel

doi:10.36948/ijfmr.2025.v07i05.58864

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Developing an efficient method for melanoma detection using CNN techniques

Author(s)	Prof. Viranchkumar Mayurbhai Kadia, Prof. Nikulkumar Vipinchandra Patel
Country	India
Abstract	More and more genetic and metabolic abnormalities are now known to cause cancer, which is typically deadly. Any bodily part may become infected by cancerous cells, which can be fatal. Skin cancer is one of the most prevalent types of cancer, and its prevalence is rising across the globe. Squamous and basal cell carcinomas, as well as melanoma, which is clinically aggressive and causes the majority of deaths, are the primary subtypes of skin cancer. Screening for skin cancer is therefore essential.
Keywords	Skin cancer detection, Melanoma, Deep learning, MobileNetV2, HAM10000, Customized CNN, Flask
Field	Engineering
Published In	Volume 7, Issue 5, September-October 2025
Published On	2025-10-25
DOI	https://doi.org/10.36948/ijfmr.2025.v07i05.58864

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Developing an efficient method for melanoma detection using CNN techniques

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