Skin Disease Detection Using Image Processing

Kajal Hanumant Taware; Lekawale Pooja Mahadev; Mandake Utkarsha Uday; Gorad Shurtika Gulab; B. D. Thorat

International Journal of Image Processing and Pattern Recognition

Skin Disease Detection Using Image Processing

Abstract

Skin issues incorporate a wide extent of indications and seriousness. They can be pleasant or unsavoury, and they can be momentary or constant. The skin is the human body's largest organ. Between 30 and 70% of people are influenced by the skin related issues. Skin-related health issues affect people all over the world, necessitating quick and effective resolution. As of late, computeraided demonstrative (CAD) innovations have been used to effectively recognize skin cancers in dermatoscopic pictures. Be that as it may, there has been very little inquire about on the foremost common skin infections in clinical pictures taken with cheap cameras or cell phones. To ensure that a CAD system's estimates are reliable, dermatologists must be able to obtain accurate representations of skin damage. We propose viable representations based on dermatological demonstrative criteria to address this issue.

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How to cite

Kajal Hanumant Taware, Lekawale Pooja Mahadev, Mandake Utkarsha Uday, Gorad Shurtika Gulab, B. D. Thorat. Skin Disease Detection Using Image Processing. International Journal of Image Processing and Pattern Recognition. 2022;8(1):1–7.

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Skin Disease Detection Using Image Processing

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