Publication Date: 2023/03/31
Abstract: According to World Health Organization, one of the most prevalent types of cancer is skin cancer of human malignancy. Skin Cancer is more likely to be cured and treated more inexpensively if detected early. Melanoma, the deadliest variety of skin cancer, can manifest itself in a variety of ways. Early melanoma detection can increase the number of people who survive the disease. The main contributor to the development of skin cancer is sun exposure (ultraviolet). In this article, a variety of deep learning algorithms for skin cancer detection are introduced. The aim of this essay is to give a newbie a better understanding of the various methods for spotting skin cancer.
Keywords: Skin Cancer, Melanoma, Human Malignancy, Deep Learning.
DOI: https://doi.org/10.5281/zenodo.7789099
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23MAR1094.pdf
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