DETECTION OF TUBERCULOSIS, COVID-19, PNEUMONIA USING IMAGE PROCESSING

Nagaraju. Sonti; Kankara Vyshnavi; Jessica Sanjose Maddu; Manduva Ramya sree; Garlapati Sreishya

DETECTION OF TUBERCULOSIS, COVID-19, PNEUMONIA USING IMAGE PROCESSING

March 2024

Vol-10, Issue-2

Paper ID: 22757

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Deep learning

Keywords

COVID-19 Tuberculosis Pneumonia CNN Deep learning Chest X-ray Adam optimizer

Abstract

Chest X-rays are crucial in diagnosing lung disorders, and radiologists play a major role in pneumonia detection. Autonomous systems in remote areas enhance treatment accessibility. This article delves into the application of deep learning for COVID-19, pneumonia, and tuberculosis identification in chest X-rays. Harnessing CNN (Convolutional Neural Networks) using Adam optimizer, our custom model extracts features and employs a classifier. Results underscore the efficacy of our approach, particularly in illness identification. Evaluation metrics including accuracy, precision, recall, and F-1 score are presented. This research underscores the capability of the custom CNN model in deep learning for accurate chest X-ray classification, promising improved diagnostic capabilities and timely interventions in respiratory illnesses.

License

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Author Information

#	Name	Institute / Affiliation
1	Nagaraju. Sonti	Vasireddy Venkatadri Institute Of Technology
2	Kankara Vyshnavi	Vasireddy Venkatadri Institute Of Technology
3	Jessica Sanjose Maddu	Vasireddy Venkatadri Institute Of Technology
4	Manduva Ramya sree	Vasireddy Venkatadri Institute Of Technology
5	Garlapati Sreishya	Vasireddy Venkatadri Institute Of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

Sonti, Nagaraju., Vyshnavi, Kankara, Maddu, Jessica Sanjose, sree, Manduva Ramya, & Sreishya, Garlapati (2024). DETECTION OF TUBERCULOSIS, COVID-19, PNEUMONIA USING IMAGE PROCESSING. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 566-575.

MLA Style

Sonti, Nagaraju., et al. "DETECTION OF TUBERCULOSIS, COVID-19, PNEUMONIA USING IMAGE PROCESSING." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 566-575.

IEEE Style

Nagaraju. Sonti, Kankara Vyshnavi, Jessica Sanjose Maddu, Manduva Ramya sree, and Garlapati Sreishya, "DETECTION OF TUBERCULOSIS, COVID-19, PNEUMONIA USING IMAGE PROCESSING," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 566-575, 2024.

Vancouver Style

Sonti Nagaraju., Vyshnavi Kankara, Maddu Jessica Sanjose, sree Manduva Ramya, Sreishya Garlapati. DETECTION OF TUBERCULOSIS, COVID-19, PNEUMONIA USING IMAGE PROCESSING. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):566-575.

Harvard Style

Sonti, Nagaraju., Vyshnavi, Kankara, Maddu, Jessica Sanjose, sree, Manduva Ramya, & Sreishya, Garlapati (2024) 'DETECTION OF TUBERCULOSIS, COVID-19, PNEUMONIA USING IMAGE PROCESSING', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 566-575.

Chicago Style

Sonti, Nagaraju., et al. "DETECTION OF TUBERCULOSIS, COVID-19, PNEUMONIA USING IMAGE PROCESSING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 566-575.

Turabian Style

Sonti, Nagaraju., et al. "DETECTION OF TUBERCULOSIS, COVID-19, PNEUMONIA USING IMAGE PROCESSING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 566-575.