Pneumonia Detection in Chest X-ray using InceptionV3 and Multi-Class Classification

Venkatesan Rajinikanth; Seifedine Kadry; Robertas Damasevicius; C. Pandeeswaran; Mazin Abed Mohammed; G. Glan Devadhas

doi:10.1109/ICICICT54557.2022.9917698

Pneumonia Detection in Chest X-ray using InceptionV3 and Multi-Class Classification

Venkatesan Rajinikanth
, Seifedine Kadry
, Robertas Damasevicius
, C. Pandeeswaran
, Mazin Abed Mohammed
, G. Glan Devadhas

Noroff University College
Silesian University of Technology
Anna University
University of Anbar
Vimal Jyothi Engineering College, Kannur

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

19 Scopus citations

Abstract

The lung is a imperative internal organs in human physiology. The abnormality in the lung will cause severe respiratory problems. Pneumonia is a severe lung infection, and early screening and treatment are essential to heal the illness. This research aims to implement a pre-trained InceptionV3 scheme to detect pneumonia in chest X-ray pictures. This scheme consists of the following phases; (i) Image collection and resizing, (ii) Deep-features extraction using InceptionV3, (iii) Feature reduction with firefly algorithm, (iv) Multi-class classification, and (v) Validation. A four-class classifier is employed in the proposed scheme to classify the X-ray into normal, mild, moderate, and severe classes using 5-fold cross-validation. The experimental outcome of the K-Nearest Neighbor (KNN) classifier confirms that this scheme offered a classification accuracy of 85.18% on the considered image database.

Original language	English
Title of host publication	Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies
Subtitle of host publication	Computational Intelligence for Smart Systems, ICICICT 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	972-976
Number of pages	5
ISBN (Electronic)	9781665410052
DOIs	https://doi.org/10.1109/ICICICT54557.2022.9917698
State	Published - 2022
Externally published	Yes
Event	3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2022 - Kannur, India Duration: 11 Aug 2022 → 12 Aug 2022

Publication series

Name	Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022

Conference

Conference	3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2022
Country/Territory	India
City	Kannur
Period	11/08/22 → 12/08/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

InceptionV3
KNN classifier
Lung abnormality
Pneumonia
Validation
X-ray

Access to Document

10.1109/ICICICT54557.2022.9917698

Cite this

Rajinikanth, V., Kadry, S., Damasevicius, R., Pandeeswaran, C., Abed Mohammed, M., & Glan Devadhas, G. (2022). Pneumonia Detection in Chest X-ray using InceptionV3 and Multi-Class Classification. In Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022 (pp. 972-976). (Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICICICT54557.2022.9917698

Rajinikanth, Venkatesan ; Kadry, Seifedine ; Damasevicius, Robertas et al. / Pneumonia Detection in Chest X-ray using InceptionV3 and Multi-Class Classification. Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 972-976 (Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022).

@inproceedings{4483607538ad47f586bcc192b51b5ca6,

title = "Pneumonia Detection in Chest X-ray using InceptionV3 and Multi-Class Classification",

abstract = "The lung is a imperative internal organs in human physiology. The abnormality in the lung will cause severe respiratory problems. Pneumonia is a severe lung infection, and early screening and treatment are essential to heal the illness. This research aims to implement a pre-trained InceptionV3 scheme to detect pneumonia in chest X-ray pictures. This scheme consists of the following phases; (i) Image collection and resizing, (ii) Deep-features extraction using InceptionV3, (iii) Feature reduction with firefly algorithm, (iv) Multi-class classification, and (v) Validation. A four-class classifier is employed in the proposed scheme to classify the X-ray into normal, mild, moderate, and severe classes using 5-fold cross-validation. The experimental outcome of the K-Nearest Neighbor (KNN) classifier confirms that this scheme offered a classification accuracy of 85.18\% on the considered image database.",

keywords = "InceptionV3, KNN classifier, Lung abnormality, Pneumonia, Validation, X-ray",

author = "Venkatesan Rajinikanth and Seifedine Kadry and Robertas Damasevicius and C. Pandeeswaran and \{Abed Mohammed\}, Mazin and \{Glan Devadhas\}, G.",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2022 ; Conference date: 11-08-2022 Through 12-08-2022",

year = "2022",

doi = "10.1109/ICICICT54557.2022.9917698",

language = "English",

series = "Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies",

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}

Rajinikanth, V, Kadry, S, Damasevicius, R, Pandeeswaran, C, Abed Mohammed, M & Glan Devadhas, G 2022, Pneumonia Detection in Chest X-ray using InceptionV3 and Multi-Class Classification. in Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022. Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022, Institute of Electrical and Electronics Engineers Inc., pp. 972-976, 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2022, Kannur, India, 11/08/22. https://doi.org/10.1109/ICICICT54557.2022.9917698

Pneumonia Detection in Chest X-ray using InceptionV3 and Multi-Class Classification. / Rajinikanth, Venkatesan; Kadry, Seifedine; Damasevicius, Robertas et al.
Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 972-976 (Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Pneumonia Detection in Chest X-ray using InceptionV3 and Multi-Class Classification

AU - Rajinikanth, Venkatesan

AU - Kadry, Seifedine

AU - Damasevicius, Robertas

AU - Pandeeswaran, C.

AU - Abed Mohammed, Mazin

AU - Glan Devadhas, G.

PY - 2022

Y1 - 2022

N2 - The lung is a imperative internal organs in human physiology. The abnormality in the lung will cause severe respiratory problems. Pneumonia is a severe lung infection, and early screening and treatment are essential to heal the illness. This research aims to implement a pre-trained InceptionV3 scheme to detect pneumonia in chest X-ray pictures. This scheme consists of the following phases; (i) Image collection and resizing, (ii) Deep-features extraction using InceptionV3, (iii) Feature reduction with firefly algorithm, (iv) Multi-class classification, and (v) Validation. A four-class classifier is employed in the proposed scheme to classify the X-ray into normal, mild, moderate, and severe classes using 5-fold cross-validation. The experimental outcome of the K-Nearest Neighbor (KNN) classifier confirms that this scheme offered a classification accuracy of 85.18% on the considered image database.

AB - The lung is a imperative internal organs in human physiology. The abnormality in the lung will cause severe respiratory problems. Pneumonia is a severe lung infection, and early screening and treatment are essential to heal the illness. This research aims to implement a pre-trained InceptionV3 scheme to detect pneumonia in chest X-ray pictures. This scheme consists of the following phases; (i) Image collection and resizing, (ii) Deep-features extraction using InceptionV3, (iii) Feature reduction with firefly algorithm, (iv) Multi-class classification, and (v) Validation. A four-class classifier is employed in the proposed scheme to classify the X-ray into normal, mild, moderate, and severe classes using 5-fold cross-validation. The experimental outcome of the K-Nearest Neighbor (KNN) classifier confirms that this scheme offered a classification accuracy of 85.18% on the considered image database.

KW - InceptionV3

KW - KNN classifier

KW - Lung abnormality

KW - Pneumonia

KW - Validation

KW - X-ray

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U2 - 10.1109/ICICICT54557.2022.9917698

DO - 10.1109/ICICICT54557.2022.9917698

M3 - Conference contribution

AN - SCOPUS:85141351744

T3 - Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022

SP - 972

EP - 976

BT - Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2022

Y2 - 11 August 2022 through 12 August 2022

ER -

Rajinikanth V, Kadry S, Damasevicius R, Pandeeswaran C, Abed Mohammed M, Glan Devadhas G. Pneumonia Detection in Chest X-ray using InceptionV3 and Multi-Class Classification. In Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 972-976. (Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022). doi: 10.1109/ICICICT54557.2022.9917698

Pneumonia Detection in Chest X-ray using InceptionV3 and Multi-Class Classification

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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