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research-article

Vision Transformer for Pneumonia Classification in X-ray Images

Authors:

Antoine Doucet,

Giang Son TranAuthors Info & Claims

ICIIT '23: Proceedings of the 2023 8th International Conference on Intelligent Information Technology

Pages 185 - 192

https://doi.org/10.1145/3591569.3591602

Published: 13 July 2023 Publication History

Abstract

Pneumonia is a common medical condition, usually caused by a lung infection, which causes the tissues in the lungs to become inflamed and affects the functioning of the lungs. Pneumonia ranges from mild pneumonia to life-threatening severity. Identifying the responsible pathogen can be difficult. Diagnosis is often based on symptoms and physical examination, which includes chest X-rays. However, the examination of chest X-rays is a challenging task and is prone to subjective variability. In this study, we focus on the research of a new image classification algorithm for classifying images indicating pneumonia pathology. The proposed method uses the Vision transformer architecture to extract data characteristics and classify the input image as pneumonia or not. Two popular deep learning architectures are compared: Vision transformer and Convolutional Neural Network. In this work, we evaluate Vit-B/16 (for Vision transformer) compared to Convolutional Neural Network algorithms such as MobileNetV2, VGG16, ResNet-50. In this study, the Vision transformer algorithm gives relatively positive classification results with an accuracy of approximately 94%.

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Cited By

Chawki YElasnaoui KOuhda M(2024)Classification and detection of Covid-19 based on X-Ray and CT images using deep learning and machine learning techniques: A bibliometric analysisAIMS Electronics and Electrical Engineering10.3934/electreng.20240048:1(71-103)Online publication date: 2024
https://doi.org/10.3934/electreng.2024004
Xu YHe GChen D(2024)A ResNet Based Pneumonia Classification Algorithm for Chest X-Ray Images2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems (ICPICS)10.1109/ICPICS62053.2024.10796977(1588-1592)Online publication date: 26-Jul-2024
https://doi.org/10.1109/ICPICS62053.2024.10796977

Index Terms

Vision Transformer for Pneumonia Classification in X-ray Images
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems

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cover image ACM Other conferences

ICIIT '23: Proceedings of the 2023 8th International Conference on Intelligent Information Technology

February 2023

310 pages

ISBN:9781450399616

DOI:10.1145/3591569

Copyright © 2023 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 13 July 2023

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ICIIT 2023

ICIIT 2023: 2023 8th International Conference on Intelligent Information Technology

February 24 - 26, 2023

Da Nang, Vietnam

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Cited By

Chawki YElasnaoui KOuhda M(2024)Classification and detection of Covid-19 based on X-Ray and CT images using deep learning and machine learning techniques: A bibliometric analysisAIMS Electronics and Electrical Engineering10.3934/electreng.20240048:1(71-103)Online publication date: 2024
https://doi.org/10.3934/electreng.2024004
Xu YHe GChen D(2024)A ResNet Based Pneumonia Classification Algorithm for Chest X-Ray Images2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems (ICPICS)10.1109/ICPICS62053.2024.10796977(1588-1592)Online publication date: 26-Jul-2024
https://doi.org/10.1109/ICPICS62053.2024.10796977

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