The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs

We describe the curation, annotation methodology, and characteristics of the dataset used in an artificial intelligence challenge for detection and localization of COVID-19 on chest radiographs. The chest radiographs were annotated by an international group of radiologists into four mutually exclusi...

Descripción completa

Detalles Bibliográficos
Autores principales: Lakhani, Paras, Mongan, J., Singhal, C., Zhou, Q., Andriole, K. P., Auffermann, W. F., Prasanna, P. M., Pham, T. X., Peterson, Michael, Bergquist, P. J., Cook, T. S., Ferraciolli, S. F., Corradi, G. C. A., Takahashi, MS, Workman, C. S., Parekh, M., Kamel, S. I., Galant, J., Mas-Sanchez, A., Benítez, E. C., Sánchez-Valverde, M., Jaques, L., Panadero, M., Vidal, M., Culiañez-Casas, M., Angulo-Gonzalez, D., Langer, S. G., de la Iglesia-Vayá, María, Shih, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518934/
https://www.ncbi.nlm.nih.gov/pubmed/36171520
http://dx.doi.org/10.1007/s10278-022-00706-8
_version_ 1784799294508761088
author Lakhani, Paras
Mongan, J.
Singhal, C.
Zhou, Q.
Andriole, K. P.
Auffermann, W. F.
Prasanna, P. M.
Pham, T. X.
Peterson, Michael
Bergquist, P. J.
Cook, T. S.
Ferraciolli, S. F.
Corradi, G. C. A.
Takahashi, MS
Workman, C. S.
Parekh, M.
Kamel, S. I.
Galant, J.
Mas-Sanchez, A.
Benítez, E. C.
Sánchez-Valverde, M.
Jaques, L.
Panadero, M.
Vidal, M.
Culiañez-Casas, M.
Angulo-Gonzalez, D.
Langer, S. G.
de la Iglesia-Vayá, María
Shih, G.
author_facet Lakhani, Paras
Mongan, J.
Singhal, C.
Zhou, Q.
Andriole, K. P.
Auffermann, W. F.
Prasanna, P. M.
Pham, T. X.
Peterson, Michael
Bergquist, P. J.
Cook, T. S.
Ferraciolli, S. F.
Corradi, G. C. A.
Takahashi, MS
Workman, C. S.
Parekh, M.
Kamel, S. I.
Galant, J.
Mas-Sanchez, A.
Benítez, E. C.
Sánchez-Valverde, M.
Jaques, L.
Panadero, M.
Vidal, M.
Culiañez-Casas, M.
Angulo-Gonzalez, D.
Langer, S. G.
de la Iglesia-Vayá, María
Shih, G.
author_sort Lakhani, Paras
collection PubMed
description We describe the curation, annotation methodology, and characteristics of the dataset used in an artificial intelligence challenge for detection and localization of COVID-19 on chest radiographs. The chest radiographs were annotated by an international group of radiologists into four mutually exclusive categories, including “typical,” “indeterminate,” and “atypical appearance” for COVID-19, or “negative for pneumonia,” adapted from previously published guidelines, and bounding boxes were placed on airspace opacities. This dataset and respective annotations are available to researchers for academic and noncommercial use.
format Online
Article
Text
id pubmed-9518934
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-95189342022-09-29 The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs Lakhani, Paras Mongan, J. Singhal, C. Zhou, Q. Andriole, K. P. Auffermann, W. F. Prasanna, P. M. Pham, T. X. Peterson, Michael Bergquist, P. J. Cook, T. S. Ferraciolli, S. F. Corradi, G. C. A. Takahashi, MS Workman, C. S. Parekh, M. Kamel, S. I. Galant, J. Mas-Sanchez, A. Benítez, E. C. Sánchez-Valverde, M. Jaques, L. Panadero, M. Vidal, M. Culiañez-Casas, M. Angulo-Gonzalez, D. Langer, S. G. de la Iglesia-Vayá, María Shih, G. J Digit Imaging Article We describe the curation, annotation methodology, and characteristics of the dataset used in an artificial intelligence challenge for detection and localization of COVID-19 on chest radiographs. The chest radiographs were annotated by an international group of radiologists into four mutually exclusive categories, including “typical,” “indeterminate,” and “atypical appearance” for COVID-19, or “negative for pneumonia,” adapted from previously published guidelines, and bounding boxes were placed on airspace opacities. This dataset and respective annotations are available to researchers for academic and noncommercial use. Springer International Publishing 2022-09-28 2023-02 /pmc/articles/PMC9518934/ /pubmed/36171520 http://dx.doi.org/10.1007/s10278-022-00706-8 Text en © The Author(s) under exclusive licence to Society for Imaging Informatics in Medicine 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
spellingShingle Article
Lakhani, Paras
Mongan, J.
Singhal, C.
Zhou, Q.
Andriole, K. P.
Auffermann, W. F.
Prasanna, P. M.
Pham, T. X.
Peterson, Michael
Bergquist, P. J.
Cook, T. S.
Ferraciolli, S. F.
Corradi, G. C. A.
Takahashi, MS
Workman, C. S.
Parekh, M.
Kamel, S. I.
Galant, J.
Mas-Sanchez, A.
Benítez, E. C.
Sánchez-Valverde, M.
Jaques, L.
Panadero, M.
Vidal, M.
Culiañez-Casas, M.
Angulo-Gonzalez, D.
Langer, S. G.
de la Iglesia-Vayá, María
Shih, G.
The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs
title The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs
title_full The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs
title_fullStr The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs
title_full_unstemmed The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs
title_short The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs
title_sort 2021 siim-fisabio-rsna machine learning covid-19 challenge: annotation and standard exam classification of covid-19 chest radiographs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518934/
https://www.ncbi.nlm.nih.gov/pubmed/36171520
http://dx.doi.org/10.1007/s10278-022-00706-8
work_keys_str_mv AT lakhaniparas the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT monganj the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT singhalc the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT zhouq the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT andriolekp the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT auffermannwf the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT prasannapm the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT phamtx the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT petersonmichael the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT bergquistpj the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT cookts the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT ferraciollisf the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT corradigca the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT takahashims the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT workmancs the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT parekhm the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT kamelsi the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT galantj the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT massancheza the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT benitezec the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT sanchezvalverdem the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT jaquesl the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT panaderom the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT vidalm the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT culianezcasasm the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT angulogonzalezd the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT langersg the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT delaiglesiavayamaria the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT shihg the2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT lakhaniparas 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT monganj 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT singhalc 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT zhouq 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT andriolekp 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT auffermannwf 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT prasannapm 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT phamtx 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT petersonmichael 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT bergquistpj 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT cookts 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT ferraciollisf 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT corradigca 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT takahashims 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT workmancs 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT parekhm 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT kamelsi 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT galantj 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT massancheza 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT benitezec 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT sanchezvalverdem 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT jaquesl 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT panaderom 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT vidalm 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT culianezcasasm 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT angulogonzalezd 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT langersg 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT delaiglesiavayamaria 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs
AT shihg 2021siimfisabiorsnamachinelearningcovid19challengeannotationandstandardexamclassificationofcovid19chestradiographs

Ejemplares similares