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Title: :  Illuminating Pneumonia Diagnosis and Severity Grading in Chest X-rays with EfficientNetB0
PaperId: :  22788
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-22788
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mande Srinivasa RaoVasireddy Venkatadri Institute Of Technology
Kalle Kusuma Vasireddy Venkatadri Institute Of Technology
Jogi Durga PrasannaVasireddy Venkatadri Institute Of Technology
Narala KavyanjaliVasireddy Venkatadri Institute Of Technology
Lenka VydehiVasireddy Venkatadri Institute Of Technology

Abstract

Deep Learning
Pneumonia, Chest X-ray, Deep Learning, EfficientNetB0.
Pneumonia, an infection inflaming the air sacs in the lungs, poses a significant health concern. Accurate and efficient diagnosis is crucial for timely treatment. Detecting pneumonia involves multiple approaches. Chest X-rays and CT scans provide initial assessments, while pulse oximetry assesses blood oxygen levels. Laboratory tests, including sputum analysis and blood tests for infection markers, further aid diagnosis. Due to its inherent advantages in accessibility, speed, and cost-effectiveness, chest X-ray is our chosen method for initial pneumonia detection in this project. Our model leverages EfficientNetB0, a deep learning architecture known for striking a balance between high accuracy and computational efficiency, to automate pneumonia detection from chest X-ray images. The study utilizes EfficientNetB0 for automating X-ray image analysis, facilitating fast and accurate detection of pneumonia cases, alongside introducing severity stages such as low, mild, and high. Evaluation of the model's performance, based on metrics like accuracy, precision, recall, and F1-score, demonstrates superiority over conventional diagnostic methods.

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IJARIIE Mande Srinivasa Rao, Kalle Kusuma , Jogi Durga Prasanna, Narala Kavyanjali, and Lenka Vydehi. "Illuminating Pneumonia Diagnosis and Severity Grading in Chest X-rays with EfficientNetB0" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 666-674
MLA Mande Srinivasa Rao, Kalle Kusuma , Jogi Durga Prasanna, Narala Kavyanjali, and Lenka Vydehi. "Illuminating Pneumonia Diagnosis and Severity Grading in Chest X-rays with EfficientNetB0." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 666-674.
APA Mande Srinivasa Rao, Kalle Kusuma , Jogi Durga Prasanna, Narala Kavyanjali, & Lenka Vydehi. (2024). Illuminating Pneumonia Diagnosis and Severity Grading in Chest X-rays with EfficientNetB0. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 666-674.
Chicago Mande Srinivasa Rao, Kalle Kusuma , Jogi Durga Prasanna, Narala Kavyanjali, and Lenka Vydehi. "Illuminating Pneumonia Diagnosis and Severity Grading in Chest X-rays with EfficientNetB0." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 666-674.
Oxford Mande Srinivasa Rao, Kalle Kusuma , Jogi Durga Prasanna, Narala Kavyanjali, and Lenka Vydehi. 'Illuminating Pneumonia Diagnosis and Severity Grading in Chest X-rays with EfficientNetB0', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 666-674. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Illuminating_Pneumonia_Diagnosis_and_Severity_Grading_in_Chest_X_rays_with_EfficientNetB0_ijariie22788.pdf (Accessed : 17 March 2024).
Harvard Mande Srinivasa Rao, Kalle Kusuma , Jogi Durga Prasanna, Narala Kavyanjali, and Lenka Vydehi. (2024) 'Illuminating Pneumonia Diagnosis and Severity Grading in Chest X-rays with EfficientNetB0', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 666-674IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Illuminating_Pneumonia_Diagnosis_and_Severity_Grading_in_Chest_X_rays_with_EfficientNetB0_ijariie22788.pdf (Accessed : 17 March 2024)
IEEE Mande Srinivasa Rao, Kalle Kusuma , Jogi Durga Prasanna, Narala Kavyanjali, and Lenka Vydehi, "Illuminating Pneumonia Diagnosis and Severity Grading in Chest X-rays with EfficientNetB0," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 666-674, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Illuminating_Pneumonia_Diagnosis_and_Severity_Grading_in_Chest_X_rays_with_EfficientNetB0_ijariie22788.pdf [Accessed : 17 March 2024].
Turabian Mande Srinivasa Rao, Kalle Kusuma , Jogi Durga Prasanna, Narala Kavyanjali, and Lenka Vydehi. "Illuminating Pneumonia Diagnosis and Severity Grading in Chest X-rays with EfficientNetB0." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 (17 March 2024).
Vancouver Mande Srinivasa Rao, Kalle Kusuma , Jogi Durga Prasanna, Narala Kavyanjali, and Lenka Vydehi. Illuminating Pneumonia Diagnosis and Severity Grading in Chest X-rays with EfficientNetB0. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 17 March 2024]; 10(2) : 666-674. Available from: https://ijariie.com/AdminUploadPdf/Illuminating_Pneumonia_Diagnosis_and_Severity_Grading_in_Chest_X_rays_with_EfficientNetB0_ijariie22788.pdf
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