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A comprehensive analysis of different models: skin cancer detection

Thorat, AmrutaJadhav, Chaya
International Journal of Electrical and Computer Engineering (IJECE) (Sinta 1)Vol. 0 No. 01 April 2025
DOI10.11591/ijece.v15i2.pp2404-2415

Abstrak

Due to fast-growing worldwide air pollution and ozone layer destruction, an alarming number of people are found to have skin cancer, more than any other kind of cancer combined. It is known to be one of the deadliest malignancies; if not identified and cured in its early stages, it is likely to spread to other body parts. Early detection is critical and helps prevent cancer from spreading. This allows for early decisions on diagnostic and treatment options. Early diagnosis and discovery, combined with the right treatment, can save lives. In this paper, we have done a detailed survey on various techniques and models developed for skin cancer detection and also discussed different security-related issues. This work thoroughly explores the several types of models utilized to identify cancer in the skin.

Kata Kunci

Alex-NetDeep learningEfficientNetImageNetMachine learningMobileNet-V2ResNet

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A comprehensive analysis of different models: skin cancer detection | International Journal of Electrical and Computer Engineering (IJECE) | Publiora