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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM34738
Volume:
8 |
5 |
May 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Human health is more important than other diseases. Skin infections are usually caused by fungal infections, bacteria, allergies or viruses. Medical equipment for such diagnoses is limited and expensive. Therefore, deep learning techniques help detect skin diseases in their early stages. Feature extraction plays an important role in classifying skin lesions. Using deep learning reduces the need for human labor such as manual extraction and data reconstruction for classification purposes.
KEYWORDS
Publication Date
5/27/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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