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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM23712
Volume:
7 |
6 |
Jun 2023
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.
Dermatify is a project aimed at developing a machine learning model for automated skin lesion detection and classification. The objective of the project is to create a reliable and accurate tool for dermatologists and healthcare professionals to aid in the diagnosis and treatment of skin diseases. The machine learning model is trained on a large dataset of skin lesion images and utilizes state-of-the-art image processing and classification techniques. The model is designed to identify various types of skin lesions, including malignant and benign ones, with high accuracy. The ultimate goal of Dermatify is to improve the efficiency and accuracy of skin lesion diagnosis, leading to better patient outcomes and healthcare cost savings.
KEYWORDS
Publication Date
6/17/2023
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.
Funding Information
No funding information available for this research.
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