Authors :
Dr. R. Srinivasa Rao; N. Gopi Rajesh; P. Sai Aashritha; P. Keerthi; P. Sharon Kiran
Volume/Issue :
Volume 8 - 2023, Issue 3 - March
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://bit.ly/42Sy59U
DOI :
https://doi.org/10.5281/zenodo.7789099
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.
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.
