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Title: :  Deep Learning Algorithm for Detection of Tuberculosis with Digital X-ray Images
PaperId: :  24102
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-24102
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Dineshkumar M Rajarajeswari College of Engineering
Manasa B JRajarajeswari College of Engineering
Pooja JRajarajeswari College of Engineering
Rashika MRajarajeswari College of Engineering

Abstract

Information Science and Engineering
Convolutional Neural Network,RNN tuberculosis, Deep learning, Classification, Image Segmentation, image processing, and chest x-ray.
This introduction delves into the application of deep learning methodologies for interpreting thoracic X-ray images to detect tuberculosis (TB), addressing the significant global health issue posed by the disease. Advanced diagnostic tools are essential for the early and accurate identification of TB. Researchers have leveraged the capabilities of deep learning in image analysis to develop innovative approaches that enhance TB detection through the automated interpretation of thoracic X-rays. This comprehensive survey provides insights into recent advancements, methodologies used, and the challenges encountered at the intersection of medical imaging and TB detection strategies. By synthesizing existing literature, it not only highlights achievements but also identifies gaps in our understanding, paving the way for future breakthroughs in this critical field. The survey traces the evolution of deep learning techniques in TB detection, from traditional diagnostic methods to the incorporation of state-of-the-art artificial intelligence algorithms. It examines how these methodologies have transformed the interpretation of thoracic X-rays, enabling automated detection and analysis with unprecedented accuracy and efficiency. Furthermore, the review highlights the diverse range of deep learning architectures and algorithms employed in TB detection, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and their variants. It explores the complexities of model training, data preprocessing, and feature extraction techniques tailored to thoracic X-ray images, offering valuable insights into the technical nuances of using deep learning for TB detection.

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IJARIIE Dineshkumar M , Manasa B J, Pooja J, and Rashika M. "Deep Learning Algorithm for Detection of Tuberculosis with Digital X-ray Images" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 3069-3078
MLA Dineshkumar M , Manasa B J, Pooja J, and Rashika M. "Deep Learning Algorithm for Detection of Tuberculosis with Digital X-ray Images." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 3069-3078.
APA Dineshkumar M , Manasa B J, Pooja J, & Rashika M. (2024). Deep Learning Algorithm for Detection of Tuberculosis with Digital X-ray Images. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 3069-3078.
Chicago Dineshkumar M , Manasa B J, Pooja J, and Rashika M. "Deep Learning Algorithm for Detection of Tuberculosis with Digital X-ray Images." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 3069-3078.
Oxford Dineshkumar M , Manasa B J, Pooja J, and Rashika M. 'Deep Learning Algorithm for Detection of Tuberculosis with Digital X-ray Images', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 3069-3078. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Deep_Learning_Algorithm_for_Detection_of_Tuberculosis_with_Digital_X_ray_Images_ijariie24102.pdf (Accessed : ).
Harvard Dineshkumar M , Manasa B J, Pooja J, and Rashika M. (2024) 'Deep Learning Algorithm for Detection of Tuberculosis with Digital X-ray Images', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 3069-3078IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Deep_Learning_Algorithm_for_Detection_of_Tuberculosis_with_Digital_X_ray_Images_ijariie24102.pdf (Accessed : )
IEEE Dineshkumar M , Manasa B J, Pooja J, and Rashika M, "Deep Learning Algorithm for Detection of Tuberculosis with Digital X-ray Images," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 3069-3078, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Deep_Learning_Algorithm_for_Detection_of_Tuberculosis_with_Digital_X_ray_Images_ijariie24102.pdf [Accessed : ].
Turabian Dineshkumar M , Manasa B J, Pooja J, and Rashika M. "Deep Learning Algorithm for Detection of Tuberculosis with Digital X-ray Images." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 ().
Vancouver Dineshkumar M , Manasa B J, Pooja J, and Rashika M. Deep Learning Algorithm for Detection of Tuberculosis with Digital X-ray Images. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(3) : 3069-3078. Available from: https://ijariie.com/AdminUploadPdf/Deep_Learning_Algorithm_for_Detection_of_Tuberculosis_with_Digital_X_ray_Images_ijariie24102.pdf
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