ISSN 0975-3583
 

Journal of Cardiovascular Disease Research



    AI-Driven Skin Disease Detection and Classification: Leveraging CNNs for Multiclass Diagnosis


    Vittapu Manisarma, Halavath Peda Sydulu, Peram Prashanthi
    JCDR. 2022: 3544-3553

    Abstract

    Because it is the biggest organ in the body and covers the muscles, bones, and other elements of the body, the function of the skin plays an extremely important part in the functioning of the human body. When one of the functions of the skin becomes impaired, it has a domino effect on the rest of the body. Because the skin is the most sensitive organ, the development of skin cancer is more likely to occur when it is exposed to UV radiation and other forms of environmental pollution. There are two distinct types of skin cancer: benign and melanoma. Melanoma, on the other hand, creates sores on the skin, which may lead to bleeding. It is named after the cells in the skin called melanocytes, and it is a more serious condition. Benign moles on the skin do not spread into the deeper layers of the skin. According to the estimates provided by the American Cancer Society, physicians in the United States identify more than 700,000 cases of skin lesions each year. Statistics provided by Apollo and other hospitals indicate that the age range of patients who are diagnosed with melanoma is between 41 and 60 years old and higher. In the early stages of skin cancer, it is possible to diagnose the disease using several technologies. People's lives may be saved by early detection of skin cancer, which also stops the spread of cancer cells to other regions of the body and prevents the proliferation of cancer cells. Even though it only affects persons of a certain age, the risk is much higher for those with fair skin. Even for an expert dermatologist, it will be difficult to diagnose skin cancer and difficult to anticipate the phases of the disease. As a result, a wide variety of hardware and software applications and devices developed.

    Description

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    Volume & Issue

    Volume 13 Issue 8

    Keywords