Deep Learning-Based Dermatological Disease Detection Using CNN and Image Processing
Skin diseases have become more and more common in humans in recent years. Conditions like ringworm, yeast infections, and allergies are often caused by infection or germs. As infections spread rapidly, early diagnosis is often greatly essential to prevent you from their spread. Clinical symptoms are essential to accurately diagnose such diseases. Various types of skin issues affect individuals of various a while. For instance, youngsters among the a while of zero and five usually experience dermatitis. Youngsters between the a while of 6 and eleven are most troubled by pimples. Teenagers between the a while of 12 and sixteen are particularly vulnerable to vulgaris. Furthermore, children within the a while of five and 15 endure from a skin illness referred to as dermatomyositis. And kids in the a while of 40 and 60. The main factor in the tracking and preventing the spread of these diseases is early detection and proper treatment.
Authors
- Revanth Bokka (ORCID: https://orcid.org/0000-0002-5346-6694)
- S. Selvin Ebenezer
- Ch. Lakshmana
- T. Dhanunjay
Institutions
- Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
- Institute of Science and Technology
Publication Details
- Published
- 2025-05-07
- DOI
- https://doi.org/10.1109/rmkmate64874.2025.11042370
- Primary Topic
- Cutaneous Melanoma Detection and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00