Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia

Eduardo Garea-Llano; Abel Diaz-Berenguer; Hichem Sahli; Evelio Gonzalez-Dalmau

doi:10.1007/978-3-031-33783-3_20

Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia

Eduardo Garea-Llano, Abel Diaz-Berenguer, Hichem Sahli, Evelio Gonzalez-Dalmau

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

Abstract

Despite the decrease in COVID-19 cases worldwide due to the development of extensive vaccination campaigns and effective containment measures adopted by most countries, this disease continues to be a global concern. Therefore, it is necessary to continue developing methods and algorithms that facilitate decision-making for better treatments. This work proposes a method to evaluate the degree of severity of the affectations caused by COVID-19 in the pulmonary region in chest X-ray images. The proposed algorithm addresses the problem of confusion between pulmonary lesions and anatomical structure (i.e., bones) in chest radiographs. In this paper, we adopt the Semantic Genesis approach for classifying image patches of the lung region into two classes (affected and unaffected). Experiments on a database consisting of X-rays of healthy people and patients with COVID-19 have shown that the proposed approach provides a better assessment of the degree of severity caused by the disease.

Original language	English
Title of host publication	Lecture Notes in Computer Science
Subtitle of host publication	Mexican Conference on Pattern Recognition
Editors	Ansel Yoan Rodríguez-González, Humberto Pérez-Espinosa, José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López
Publisher	Springer, Cham
Pages	211–220
Number of pages	10
Volume	13902
ISBN (Electronic)	978-3-031-33783-3
ISBN (Print)	978-3-031-33782-6
DOIs	https://doi.org/10.1007/978-3-031-33783-3_20
Publication status	Published - 9 Jun 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13902 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Bibliographical note

Funding Information:
The VLIR-UOS has partially financed this research under the South Initiative: Toward Precision Medicine for the Prediction of Treatment Response to Covid-19 in Cuba (COVID-19 PROMPT).

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Copyright:
Copyright 2023 Elsevier B.V., All rights reserved.

Access to Document

10.1007/978-3-031-33783-3_20

Cite this

Garea-Llano, E., Diaz-Berenguer, A., Sahli, H., & Gonzalez-Dalmau, E. (2023). Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia. In A. Y. Rodríguez-González, H. Pérez-Espinosa, J. F. Martínez-Trinidad, J. A. Carrasco-Ochoa, & J. A. Olvera-López (Eds.), Lecture Notes in Computer Science: Mexican Conference on Pattern Recognition (Vol. 13902, pp. 211–220). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13902 LNCS). Springer, Cham. https://doi.org/10.1007/978-3-031-33783-3_20

Garea-Llano, Eduardo ; Diaz-Berenguer, Abel ; Sahli, Hichem ; Gonzalez-Dalmau, Evelio. / Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia. Lecture Notes in Computer Science: Mexican Conference on Pattern Recognition. editor / Ansel Yoan Rodríguez-González ; Humberto Pérez-Espinosa ; José Francisco Martínez-Trinidad ; Jesús Ariel Carrasco-Ochoa ; José Arturo Olvera-López. Vol. 13902 Springer, Cham, 2023. pp. 211–220 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Garea-Llano, E, Diaz-Berenguer, A , Sahli, H & Gonzalez-Dalmau, E 2023, Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia. in AY Rodríguez-González, H Pérez-Espinosa, JF Martínez-Trinidad, JA Carrasco-Ochoa & JA Olvera-López (eds), Lecture Notes in Computer Science: Mexican Conference on Pattern Recognition. vol. 13902, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13902 LNCS, Springer, Cham, pp. 211–220. https://doi.org/10.1007/978-3-031-33783-3_20

Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia. / Garea-Llano, Eduardo; Diaz-Berenguer, Abel ; Sahli, Hichem; Gonzalez-Dalmau, Evelio.

Lecture Notes in Computer Science: Mexican Conference on Pattern Recognition. ed. / Ansel Yoan Rodríguez-González; Humberto Pérez-Espinosa; José Francisco Martínez-Trinidad; Jesús Ariel Carrasco-Ochoa; José Arturo Olvera-López. Vol. 13902 Springer, Cham, 2023. p. 211–220 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13902 LNCS).

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

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AU - Diaz-Berenguer, Abel

AU - Sahli, Hichem

AU - Gonzalez-Dalmau, Evelio

N1 - Funding Information: The VLIR-UOS has partially financed this research under the South Initiative: Toward Precision Medicine for the Prediction of Treatment Response to Covid-19 in Cuba (COVID-19 PROMPT). Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. Copyright: Copyright 2023 Elsevier B.V., All rights reserved.

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Garea-Llano E, Diaz-Berenguer A , Sahli H, Gonzalez-Dalmau E. Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia. In Rodríguez-González AY, Pérez-Espinosa H, Martínez-Trinidad JF, Carrasco-Ochoa JA, Olvera-López JA, editors, Lecture Notes in Computer Science: Mexican Conference on Pattern Recognition. Vol. 13902. Springer, Cham. 2023. p. 211–220. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-031-33783-3_20

Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia

Abstract

Publication series

Bibliographical note

Access to Document

Other files and links

Fingerprint

VLIR409: (COVID-19 PROMPT) Toward PrecisiOn Medicine for the Prediction of Treatment response to Covid-19 in Cuba

Cite this

Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia

Abstract

Publication series

Bibliographical note

Access to Document

Other files and links

Fingerprint

Projects

VLIR409: (COVID-19 PROMPT) Toward PrecisiOn Medicine for the Prediction of Treatment response to Covid-19 in Cuba

Cite this