Dermatological Detection and Classification using Machine Learning Techniques

Main Article Content

Sarangam Kodati, Nethravathi P S, M. Dhasaratham


Dermatology is the medical field that focuses on the study and treatment of skin conditions. It is a specialized branch of medicine that encompasses both diagnostic and surgical procedures related to the skin. It is a widespread disease among them. The researchers have shows a lot of attention to the early detection of lesions. Because of their proliferation ability to other parts of the body, death rates are quite high. A system that can distinguish between benign and malignant lesions is essential because melanoma can be cured with an early and accurate diagnosis. Dermoscopic skin lesion images are first segmented using data mining techniques, to identify the area of interest of the lesion part. When compared to individual classifier algorithms, dermatology datasets benefit from the various data mining techniques and feature selection methods. The SVM provides more accurate and effective skin disease prediction in terms of accuracy, precision, and Specificity.

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How to Cite
Sarangam Kodati, et al. (2023). Dermatological Detection and Classification using Machine Learning Techniques. International Journal on Recent and Innovation Trends in Computing and Communication, 11(10), 1524–1529.
Author Biography

Sarangam Kodati, Nethravathi P S, M. Dhasaratham

Dr. Sarangam Kodati1,2, Dr. Nethravathi P S2, Dr. M.Dhasaratham3

1Department of Information Technology, CVR College of Engineering, Hyderabad, Telangana, India-501510.

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2Institute of Computer and Information Sciences, Srinivas University, Mangalore, Karnataka, India-574146.

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3Department of Information Technology, TKR College of Engineering and Technology, Hyderabad, Telangana, India-500097.

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