📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
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 10, ISSUE 6, JUNE 2021

SKIN DISEASE PREDICTION USING IMAGE PROCESSING

Kajal Dhumal, Vaishnavi Wattmwar, Rushikesh Jankar, Shraddha Bhange,Prof. Madhavi Kulkarni

DOI: 10.17148/IJARCCE.2021.10653

Abstract: Skin disorders are common in children. Children can experience many of the same skin conditions as adults. Infants and toddlers are also at risk for diaper-related skin problems. Since children have more frequent exposure to other children and germs, they may also develop skin disorders that rarely occur in adults. Many childhood skin problems disappear with age, but children can also inherit permanent skin disorders. In most cases, doctors can treat childhood skin disorders with topical creams, medicated lotions, or condition-specific drugs. So it is very necessary to detect skin disease in early stage. Skin disorders vary greatly in symptoms and severity. They can be temporary or permanent, and may be painless or painful. Some have situational causes, while others may be genetic. Some skin conditions are minor, and others can be life-threatening.While most skin disorders are minor, others can indicate a more serious issue.

Keywords: skin disease, image processing, segmentation, etc.

Keywords: skin disease, python, web, etc

How to Cite:

[1] Kajal Dhumal, Vaishnavi Wattmwar, Rushikesh Jankar, Shraddha Bhange,Prof. Madhavi Kulkarni, “SKIN DISEASE PREDICTION USING IMAGE PROCESSING,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.10653