Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia

The emergence of COVID-19 as a global pandemic forced researchers worldwide in various disciplines to investigate and propose efficient strategies and/or technologies to prevent COVID-19 from further spreading. One of the main challenges to be overcome is the fast and efficient detection of COVID-19...

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Autores:
Alzate-Grisales, Jesús Alejandro
Mora-Rubio, Alejandro
Arteaga-Arteaga, Harold Brayan
Bravo-Ortiz, Mario Alejandro
Arias-Garzón, Daniel
López-Murillo, Luis Humberto
Mercado-Ruiz, Esteban
Villa-Pulgarin, Juan Pablo
Cardona-Morales, Oscar
Orozco-Arias, Simon
Buitrago-Carmona, Felipe
Palancares-Sosa, Maria Jose
Martínez-Rodríguez, Fernanda
Contreras-Ortiz, Sonia H.
Saborit-Torres, Jose Manuel
Montell Serrano, Joaquim Ángel
Ramirez-Sánchez, María Mónica
Sierra-Gaber, ario Alfonso
Jaramillo-Robled, Oscar
de la Iglesia-Vayá, Maria
Tabares-Soto, Reinel
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/12339
Acceso en línea:
https://hdl.handle.net/20.500.12585/12339
Palabra clave:
Object Detection;
Deep Learning;
IOU
LEMB
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia
title Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia
spellingShingle Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia
Object Detection;
Deep Learning;
IOU
LEMB
title_short Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia
title_full Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia
title_fullStr Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia
title_full_unstemmed Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia
title_sort Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia
dc.creator.fl_str_mv Alzate-Grisales, Jesús Alejandro
Mora-Rubio, Alejandro
Arteaga-Arteaga, Harold Brayan
Bravo-Ortiz, Mario Alejandro
Arias-Garzón, Daniel
López-Murillo, Luis Humberto
Mercado-Ruiz, Esteban
Villa-Pulgarin, Juan Pablo
Cardona-Morales, Oscar
Orozco-Arias, Simon
Buitrago-Carmona, Felipe
Palancares-Sosa, Maria Jose
Martínez-Rodríguez, Fernanda
Contreras-Ortiz, Sonia H.
Saborit-Torres, Jose Manuel
Montell Serrano, Joaquim Ángel
Ramirez-Sánchez, María Mónica
Sierra-Gaber, ario Alfonso
Jaramillo-Robled, Oscar
de la Iglesia-Vayá, Maria
Tabares-Soto, Reinel
dc.contributor.author.none.fl_str_mv Alzate-Grisales, Jesús Alejandro
Mora-Rubio, Alejandro
Arteaga-Arteaga, Harold Brayan
Bravo-Ortiz, Mario Alejandro
Arias-Garzón, Daniel
López-Murillo, Luis Humberto
Mercado-Ruiz, Esteban
Villa-Pulgarin, Juan Pablo
Cardona-Morales, Oscar
Orozco-Arias, Simon
Buitrago-Carmona, Felipe
Palancares-Sosa, Maria Jose
Martínez-Rodríguez, Fernanda
Contreras-Ortiz, Sonia H.
Saborit-Torres, Jose Manuel
Montell Serrano, Joaquim Ángel
Ramirez-Sánchez, María Mónica
Sierra-Gaber, ario Alfonso
Jaramillo-Robled, Oscar
de la Iglesia-Vayá, Maria
Tabares-Soto, Reinel
dc.subject.keywords.spa.fl_str_mv Object Detection;
Deep Learning;
IOU
topic Object Detection;
Deep Learning;
IOU
LEMB
dc.subject.armarc.none.fl_str_mv LEMB
description The emergence of COVID-19 as a global pandemic forced researchers worldwide in various disciplines to investigate and propose efficient strategies and/or technologies to prevent COVID-19 from further spreading. One of the main challenges to be overcome is the fast and efficient detection of COVID-19 using deep learning approaches and medical images such as Chest Computed Tomography (CT) and Chest X-ray images. In order to contribute to this challenge, a new dataset was collected in collaboration with “S.E.S Hospital Universitario de Caldas” (https://hospitaldecaldas.com/) from Colombia and organized following the Medical Imaging Data Structure (MIDS) format. The dataset contains 7,307 chest X-ray images divided into 3,077 and 4,230 COVID-19 positive and negative images. Images were subjected to a selection and anonymization process to allow the scientific community to use them freely. Finally, different convolutional neural networks were used to perform technical validation. This dataset contributes to the scientific community by tackling significant limitations regarding data quality and availability for the detection of COVID-19. © 2022, The Author(s).
publishDate 2022
dc.date.issued.none.fl_str_mv 2022
dc.date.accessioned.none.fl_str_mv 2023-07-21T16:24:12Z
dc.date.available.none.fl_str_mv 2023-07-21T16:24:12Z
dc.date.submitted.none.fl_str_mv 2023
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dc.identifier.citation.spa.fl_str_mv Alzate-Grisales, J. A., Mora-Rubio, A., Arteaga-Arteaga, H. B., Bravo-Ortiz, M. A., Arias-Garzón, D., López-Murillo, L. H., ... & Tabares-Soto, R. (2022). Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia. Scientific Data, 9(1), 757.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/12339
dc.identifier.doi.none.fl_str_mv 10.1038/s41597-022-01576-z
dc.identifier.instname.spa.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.spa.fl_str_mv Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv Alzate-Grisales, J. A., Mora-Rubio, A., Arteaga-Arteaga, H. B., Bravo-Ortiz, M. A., Arias-Garzón, D., López-Murillo, L. H., ... & Tabares-Soto, R. (2022). Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia. Scientific Data, 9(1), 757.
10.1038/s41597-022-01576-z
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/12339
dc.language.iso.spa.fl_str_mv eng
language eng
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dc.format.extent.none.fl_str_mv 10 páginas
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dc.publisher.place.spa.fl_str_mv Cartagena de Indias
dc.source.spa.fl_str_mv Scientific Data, 9(1)
institution Universidad Tecnológica de Bolívar
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spelling Alzate-Grisales, Jesús Alejandro919ca2b8-fb72-4d2c-9881-6e6a50c89c07Mora-Rubio, Alejandroa2ef93b1-ff62-42b9-abea-3bcd577bff51Arteaga-Arteaga, Harold Brayand9c7a7e5-f827-4a17-955c-9fe8db6b87ffBravo-Ortiz, Mario Alejandro5fab290d-6bb3-4471-91f8-06df2e0d7c66Arias-Garzón, Daniel1e153684-84c5-4201-9898-5c7038088237López-Murillo, Luis Humberto22fb712a-d145-459d-88b2-5fa07e158d76Mercado-Ruiz, Estebanafed0489-b0ee-4ef2-8521-c3482a88a57dVilla-Pulgarin, Juan Pablo68c42d40-dcfd-4045-86a2-0cc9a2ee1071Cardona-Morales, Oscarb366e18d-edb2-4738-9784-99b59e8ac658Orozco-Arias, Simonb8179e69-88e4-4b52-978a-9561854595e8Buitrago-Carmona, Felipe8c858c8b-9462-4bcf-bc3e-d30cfd41f7b2Palancares-Sosa, Maria Josebb2918c3-c513-4ec9-8985-90ba3461bde0Martínez-Rodríguez, Fernanda22a6c4ae-e4dc-4e3a-a99d-ed5c4051126aContreras-Ortiz, Sonia H.1d56d7f5-97c9-4429-b47d-48ebe97de2a8Saborit-Torres, Jose Manueldedb4256-ddbb-4de0-bf5c-814076b0aba1Montell Serrano, Joaquim Ángelefb8993a-3169-41c4-9fde-8db893b3da56Ramirez-Sánchez, María Mónicac19936ae-2ecc-4776-aac8-e386984fcc83Sierra-Gaber, ario Alfonso30692121-7ea8-4baf-b8b1-46e5b0220a5cJaramillo-Robled, Oscar25318f7c-2547-46f3-81a6-c29cb29e4c21de la Iglesia-Vayá, Maria0a025913-87c2-4a57-820e-c7a3cb39f759Tabares-Soto, Reineld5ab6f5c-2187-4932-9851-2ae749396b042023-07-21T16:24:12Z2023-07-21T16:24:12Z20222023Alzate-Grisales, J. A., Mora-Rubio, A., Arteaga-Arteaga, H. B., Bravo-Ortiz, M. A., Arias-Garzón, D., López-Murillo, L. H., ... & Tabares-Soto, R. (2022). Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia. Scientific Data, 9(1), 757.https://hdl.handle.net/20.500.12585/1233910.1038/s41597-022-01576-zUniversidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe emergence of COVID-19 as a global pandemic forced researchers worldwide in various disciplines to investigate and propose efficient strategies and/or technologies to prevent COVID-19 from further spreading. One of the main challenges to be overcome is the fast and efficient detection of COVID-19 using deep learning approaches and medical images such as Chest Computed Tomography (CT) and Chest X-ray images. In order to contribute to this challenge, a new dataset was collected in collaboration with “S.E.S Hospital Universitario de Caldas” (https://hospitaldecaldas.com/) from Colombia and organized following the Medical Imaging Data Structure (MIDS) format. The dataset contains 7,307 chest X-ray images divided into 3,077 and 4,230 COVID-19 positive and negative images. Images were subjected to a selection and anonymization process to allow the scientific community to use them freely. Finally, different convolutional neural networks were used to perform technical validation. This dataset contributes to the scientific community by tackling significant limitations regarding data quality and availability for the detection of COVID-19. © 2022, The Author(s).10 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Scientific Data, 9(1)Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombiainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Object Detection;Deep Learning;IOULEMBCartagena de IndiasWang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., (...), Peng, Z. Clinical Characteristics of 138 Hospitalized Patients with 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China (2020) JAMA - Journal of the American Medical Association, 323 (11), pp. 1061-1069. Cited 15066 times. http://jama.jamanetwork.com/journal.aspx doi: 10.1001/jama.2020.1585Anis, S., Lai, K.W., Chuah, J.H., Ali, S.M., Mohafez, H., Hadizadeh, M., Yan, D., (...), Ong, Z.-C. An overview of deep learning approaches in chest radiograph (2020) IEEE Access, 8, pp. 182347-182354. Cited 18 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639 doi: 10.1109/ACCESS.2020.3028390Ohata, E.F., Bezerra, G.M., Chagas, J.V.S.D., Lira Neto, A.V., Albuquerque, A.B., Albuquerque, V.H.C.D., Reboucas Filho, P.P. Automatic detection of COVID-19 infection using chest X-ray images through transfer learning (2021) IEEE/CAA Journal of Automatica Sinica, 8 (1), art. no. 9205687, pp. 239-248. 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