Detection of Foot-Ulcer from Digital Photographs using MobileNet Variants with Features Fusion-Reference-Cited by-同舟云学术

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Detection of Foot-Ulcer from Digital Photographs using MobileNet Variants with Features Fusion

Published:2024-04-04 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
language:
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Author:

Ramadasan Swaetha¹,Augasthega R.²,Vijayakumar K.²,Prabha S.³

Affiliation:

1. Perma Technologies,Atlanta,GA,USA,30342

2. St. Joseph's Institute of Technology, OMR,Department of Information Technology,Chennai,TN,India,600119

3. Center for Research and Innovation, Saveetha School of Engineering, SIMATS,Department of CSE,Chennai,TN,India,602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10568576/10568577/10568675.pdf?arnumber=10568675

Reference16 articles.

1. Addressing Cardiovascular Risk in Diabetes: It’s More Than the Sugar

2. Higher glucose fluctuation is associated with a higher risk of cardiovascular disease: Insights from pooled results among patients with diabetes

3. Diabetic foot ulcer detection using deep learning approaches

4. Chitosan-based electrospun nanofibers for diabetic foot ulcer management; recent advances

5. Diabetic foot ulcers segmentation challenge report: Benchmark and analysis

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