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A Hybridized Pre-Processing Method for Detecting Tuberculosis using Deep Learning

Tuberculosis (TB), a disease that targets the individual's lungs and can cause fatalities can be cured if detected and treated early. Computer Aided Diagnosis (CAD) systems could be utilized to detect the presence of TB in Chest X-Ray Images (CXR). This paper proposes to investigate a hybridize...

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Main Authors: Elashmawy, A.M.A., Elamvazuthi, I., Ali, S.S.A., Natarajan, E., Paramasivam, S.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124166674&doi=10.1109%2fICIAS49414.2021.9642622&partnerID=40&md5=50cae21bf4b0058f2a9ead326e851537
http://eprints.utp.edu.my/29184/
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spelling my.utp.eprints.291842022-03-25T01:11:20Z A Hybridized Pre-Processing Method for Detecting Tuberculosis using Deep Learning Elashmawy, A.M.A. Elamvazuthi, I. Ali, S.S.A. Natarajan, E. Paramasivam, S. Tuberculosis (TB), a disease that targets the individual's lungs and can cause fatalities can be cured if detected and treated early. Computer Aided Diagnosis (CAD) systems could be utilized to detect the presence of TB in Chest X-Ray Images (CXR). This paper proposes to investigate a hybridized pre-processing method for Convolutional Neural Network (CNN) CAD system for detecting TB in CXR images. The aim of this research is to improve the performance of CNNs by combining two different pre-processing methods and to further multi-classify different manifestation of TB. In this research, the experimental design is to apply augmentation and segmentation to CXR images as pre-processing and use a pretrained CNN model to classify the pre-processed images. It is hypothesized that the research would improve the accuracy and Area Under Curve (AUC) of detection of TB in CXR images. © 2021 IEEE. Institute of Electrical and Electronics Engineers Inc. 2021 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124166674&doi=10.1109%2fICIAS49414.2021.9642622&partnerID=40&md5=50cae21bf4b0058f2a9ead326e851537 Elashmawy, A.M.A. and Elamvazuthi, I. and Ali, S.S.A. and Natarajan, E. and Paramasivam, S. (2021) A Hybridized Pre-Processing Method for Detecting Tuberculosis using Deep Learning. In: UNSPECIFIED. http://eprints.utp.edu.my/29184/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Tuberculosis (TB), a disease that targets the individual's lungs and can cause fatalities can be cured if detected and treated early. Computer Aided Diagnosis (CAD) systems could be utilized to detect the presence of TB in Chest X-Ray Images (CXR). This paper proposes to investigate a hybridized pre-processing method for Convolutional Neural Network (CNN) CAD system for detecting TB in CXR images. The aim of this research is to improve the performance of CNNs by combining two different pre-processing methods and to further multi-classify different manifestation of TB. In this research, the experimental design is to apply augmentation and segmentation to CXR images as pre-processing and use a pretrained CNN model to classify the pre-processed images. It is hypothesized that the research would improve the accuracy and Area Under Curve (AUC) of detection of TB in CXR images. © 2021 IEEE.
format Conference or Workshop Item
author Elashmawy, A.M.A.
Elamvazuthi, I.
Ali, S.S.A.
Natarajan, E.
Paramasivam, S.
spellingShingle Elashmawy, A.M.A.
Elamvazuthi, I.
Ali, S.S.A.
Natarajan, E.
Paramasivam, S.
A Hybridized Pre-Processing Method for Detecting Tuberculosis using Deep Learning
author_facet Elashmawy, A.M.A.
Elamvazuthi, I.
Ali, S.S.A.
Natarajan, E.
Paramasivam, S.
author_sort Elashmawy, A.M.A.
title A Hybridized Pre-Processing Method for Detecting Tuberculosis using Deep Learning
title_short A Hybridized Pre-Processing Method for Detecting Tuberculosis using Deep Learning
title_full A Hybridized Pre-Processing Method for Detecting Tuberculosis using Deep Learning
title_fullStr A Hybridized Pre-Processing Method for Detecting Tuberculosis using Deep Learning
title_full_unstemmed A Hybridized Pre-Processing Method for Detecting Tuberculosis using Deep Learning
title_sort hybridized pre-processing method for detecting tuberculosis using deep learning
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124166674&doi=10.1109%2fICIAS49414.2021.9642622&partnerID=40&md5=50cae21bf4b0058f2a9ead326e851537
http://eprints.utp.edu.my/29184/
_version_ 1738656929943650304
score 13.211869

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