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Journal of Intelligent Systems and Internet of Things
Volume 8 , Issue 1, PP: 17-32 , 2023 | Cite this article as | XML | Html |PDF

Title

Classification of Diabetic Foot Thermal Images Using Deep Convolutional Neural Network

  Reem N. Yousef 1 * ,   Marwa M. Eid 2 ,   Mohamed A. Mohamed 3

1  Delta Higher Institute for Engineering and technology, Mansoura, Egypt
    (reem.nehad@hotmail.com)

2  Delta Higher Institute for Engineering and technology, Mansoura, Egypt
    (marwa.3eeed@gmail.com)

3  Electronics and communications Engineering, Faculty of Engineering, Mansoura University, Egypt
    (mazim12@yahoo.com)


Doi   :   https://doi.org/10.54216/JISIoT.080102

Received: May 17, 2022 Accepted: January 11, 2023

Abstract :

Diabetic foot (DF) is one of the most common chronic complications of poorly controlled diabetes mellitus (DM). Early diagnosis of DF and effective treatment is usually difficult by traditional approaches. Lately, it has been found a strong relationship between temperature variation and diabetic foot ulcer emergence. Thus, the current study focused on monitoring the temperature of feet using thermal images and its analysis techniques. The proposed system was based on employing a deep convolutional neural network (CNN) on thermal foot images. Experimental results showed that the proposed CNN has a maximum accuracy of 99.3% with minimum losses. When comparing the proposed system to other relevant systems, the proposed system approved greater accuracy, lower elapsed and testing time, which offers an automatic diagnostic tool for the diabetic foot and differentiates between its types. Thus, a simple, cost-effective, and accurate computer aided design (CAD) system could be presented to get a valuable system for the clinicians in hospitals.

Keywords :

Diabetic Foot; Diabetes mellitus; convolutional neural network; Thermal images.

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Cite this Article as :
Style #
MLA Reem N. Yousef, Marwa M. Eid, Mohamed A. Mohamed. "Classification of Diabetic Foot Thermal Images Using Deep Convolutional Neural Network." Journal of Intelligent Systems and Internet of Things, Vol. 8, No. 1, 2023 ,PP. 17-32 (Doi   :  https://doi.org/10.54216/JISIoT.080102)
APA Reem N. Yousef, Marwa M. Eid, Mohamed A. Mohamed. (2023). Classification of Diabetic Foot Thermal Images Using Deep Convolutional Neural Network. Journal of Journal of Intelligent Systems and Internet of Things, 8 ( 1 ), 17-32 (Doi   :  https://doi.org/10.54216/JISIoT.080102)
Chicago Reem N. Yousef, Marwa M. Eid, Mohamed A. Mohamed. "Classification of Diabetic Foot Thermal Images Using Deep Convolutional Neural Network." Journal of Journal of Intelligent Systems and Internet of Things, 8 no. 1 (2023): 17-32 (Doi   :  https://doi.org/10.54216/JISIoT.080102)
Harvard Reem N. Yousef, Marwa M. Eid, Mohamed A. Mohamed. (2023). Classification of Diabetic Foot Thermal Images Using Deep Convolutional Neural Network. Journal of Journal of Intelligent Systems and Internet of Things, 8 ( 1 ), 17-32 (Doi   :  https://doi.org/10.54216/JISIoT.080102)
Vancouver Reem N. Yousef, Marwa M. Eid, Mohamed A. Mohamed. Classification of Diabetic Foot Thermal Images Using Deep Convolutional Neural Network. Journal of Journal of Intelligent Systems and Internet of Things, (2023); 8 ( 1 ): 17-32 (Doi   :  https://doi.org/10.54216/JISIoT.080102)
IEEE Reem N. Yousef, Marwa M. Eid, Mohamed A. Mohamed, Classification of Diabetic Foot Thermal Images Using Deep Convolutional Neural Network, Journal of Journal of Intelligent Systems and Internet of Things, Vol. 8 , No. 1 , (2023) : 17-32 (Doi   :  https://doi.org/10.54216/JISIoT.080102)