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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM25998
Volume:
7 |
10 |
Oct 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.
This paper introduces a deep learning approach using the ResNet50 algorithm within Google Colab to detect diabetic foot ulcers. Early identification of these ulcers is crucial to prevent leg amputations. Leveraging a diverse dataset, the model exhibits high accuracy and sensitivity, offering a cost-effective solution for timely intervention in diabetic foot ulcers, there by improving patient outcomes.
KEYWORDS
Publication Date
9/9/2023
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.
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