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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 13, ISSUE 4, APRIL 2024

SKIN DISEASE DETECTION USING CONVOLUTIONAL NEURAL NETWORKS

Dr.P. Kavitha, Ms.M. Pavithra, Mr.C. Aravind

DOI: 10.17148/IJARCCE.2024.13434

Abstract: Skin conditions are very infectious and harmful. One of the several disorders brought on by bacteria, viruses, fungi, or allergies, dermatosis is the most prevalent. could result in. Skin illnesses are known as dermatoses. Certain skin conditions can only be treated by a dermatologist; other skin conditions cannot be treated with the right drugs. Rashes, inflammation, itching, and other skin abnormalities can also bebrought on by skin illnesses. The goal of this project is to use image processing to identify skin conditions. In this procedure, we take a picture of the affected area, analyze it using image processing techniques to determine what kind of sickness it is, and then apply CNN for real-time analysis.

Keywords: CNN, Image Processing, Deep learning, Machine learning

How to Cite:

[1] Dr.P. Kavitha, Ms.M. Pavithra, Mr.C. Aravind, “SKIN DISEASE DETECTION USING CONVOLUTIONAL NEURAL NETWORKS,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13434