Research Article

Bovine Tuberculosis Detection in Meat Products Based on Deep Learning Models

Volume: 21 Number: 1 July 26, 2025

Bovine Tuberculosis Detection in Meat Products Based on Deep Learning Models

Abstract

Bovine tuberculosis (bTB) is an infectious disease that threatens human health and possibly leads to death. It is known that tuberculosis can be transmitted to a healthy person through the air. However, it can also be transmitted through the consumption of animal products, such as meat and milk, which contain the bacteria that cause tuberculosis. Detecting tuberculosis in animal products is challenging and requires specialized expertise. There are many studies in which the detection of tuberculosis is performed using Deep Learning (DL) approaches. However, there is a lack of studies on the detection of bTB in animal products. In this study, we address this problem and propose a Convolutional Neural Network (CNN) DL approach for detecting bTB in meat products. We conducted experiments on a new dataset containing images of bTB infected and healthy meats. We evaluate the performance of different CNN architectures such as ResNet-50, DarkNet-53, MobileNet-v2, GoogleNet, and EfficientNet-b0 in detecting tuberculosis in meat products with respect to several metrics. We have been able to achieve validation accuracies of 100%, 99.67%,100%, 98.04%, and 100%, for ResNet-50, DarkNet-53, MobileNet-v2, GoogleNet and EfficientNet-b0, respectively.

Keywords

References

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Details

Primary Language

English

Subjects

Image and Video Coding

Journal Section

Research Article

Publication Date

July 26, 2025

Submission Date

January 21, 2025

Acceptance Date

March 3, 2025

Published in Issue

Year 2025 Volume: 21 Number: 1

APA
Özdemir, M. B., Ekinci, E., Garip, Z., & Göz, F. (2025). Bovine Tuberculosis Detection in Meat Products Based on Deep Learning Models. Electronic Letters on Science and Engineering, 21(1), 1-13. https://izlik.org/JA32ZK33DE
AMA
1.Özdemir MB, Ekinci E, Garip Z, Göz F. Bovine Tuberculosis Detection in Meat Products Based on Deep Learning Models. Electronic Letters on Science and Engineering. 2025;21(1):1-13. https://izlik.org/JA32ZK33DE
Chicago
Özdemir, Mustafa Burkay, Ekin Ekinci, Zeynep Garip, and Furkan Göz. 2025. “Bovine Tuberculosis Detection in Meat Products Based on Deep Learning Models”. Electronic Letters on Science and Engineering 21 (1): 1-13. https://izlik.org/JA32ZK33DE.
EndNote
Özdemir MB, Ekinci E, Garip Z, Göz F (July 1, 2025) Bovine Tuberculosis Detection in Meat Products Based on Deep Learning Models. Electronic Letters on Science and Engineering 21 1 1–13.
IEEE
[1]M. B. Özdemir, E. Ekinci, Z. Garip, and F. Göz, “Bovine Tuberculosis Detection in Meat Products Based on Deep Learning Models”, Electronic Letters on Science and Engineering, vol. 21, no. 1, pp. 1–13, July 2025, [Online]. Available: https://izlik.org/JA32ZK33DE
ISNAD
Özdemir, Mustafa Burkay - Ekinci, Ekin - Garip, Zeynep - Göz, Furkan. “Bovine Tuberculosis Detection in Meat Products Based on Deep Learning Models”. Electronic Letters on Science and Engineering 21/1 (July 1, 2025): 1-13. https://izlik.org/JA32ZK33DE.
JAMA
1.Özdemir MB, Ekinci E, Garip Z, Göz F. Bovine Tuberculosis Detection in Meat Products Based on Deep Learning Models. Electronic Letters on Science and Engineering. 2025;21:1–13.
MLA
Özdemir, Mustafa Burkay, et al. “Bovine Tuberculosis Detection in Meat Products Based on Deep Learning Models”. Electronic Letters on Science and Engineering, vol. 21, no. 1, July 2025, pp. 1-13, https://izlik.org/JA32ZK33DE.
Vancouver
1.Mustafa Burkay Özdemir, Ekin Ekinci, Zeynep Garip, Furkan Göz. Bovine Tuberculosis Detection in Meat Products Based on Deep Learning Models. Electronic Letters on Science and Engineering [Internet]. 2025 Jul. 1;21(1):1-13. Available from: https://izlik.org/JA32ZK33DE