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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM29479
Volume:
8 |
3 |
Mar 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.
Due to its intricacy, dermatology is one of the most unpredictable and challenging fields to diagnose. To determine the skin condition a patient may be experiencing; numerous testings are frequently required in the field of dermatology. Depending on the practitioner, the duration could change. This is also based on their personal experience. Therefore, a system that can diagnose skin diseases without any of these limitations is needed. We suggest an automated image-based method that uses machine learning classification to identify skin disorders. Based on numerous aspects of the photographs, this system will use computational technique to analyze, process, and relabel the image data. Images of the skin are filtered to remove undesirable
KEYWORDS
Publication Date
12/31/45372
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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No funding information available for this research.
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