PadChest: A large chest x-ray image dataset with multi-label annotated reports

We present a labeled large-scale, high resolution chest x-ray dataset for the automated exploration of medical images along with their associated reports. This dataset includes more than 160,0 00 images obtained from 67,0 00 patients that were interpreted and reported by radiologists at San Juan Hos...

Descripción completa

Detalles Bibliográficos
Autores: Bustos A, Pertusa A, Salinas JM, de la Iglesia-Vayá M
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
Repositorio:r-FISABIO. Repositorio Institucional de Producción Científica
OAI Identifier:oai:fisabio.fundanetsuite.com:p8002
Acceso en línea:https://fisabio.portalinvestigacion.com/publicaciones/8002
Access Level:acceso abierto
Palabra clave:X-Ray image dataset
Deep neural networks
Radiographic findings
Differential diagnoses
Anatomical locations
id ES_7080c766afa48e4ed2ef5d3c8bb42e58
oai_identifier_str oai:fisabio.fundanetsuite.com:p8002
network_acronym_str ES
network_name_str España
repository_id_str
spelling PadChest: A large chest x-ray image dataset with multi-label annotated reportsBustos APertusa ASalinas JMde la Iglesia-Vayá MX-Ray image datasetDeep neural networksRadiographic findingsDifferential diagnosesAnatomical locationsWe present a labeled large-scale, high resolution chest x-ray dataset for the automated exploration of medical images along with their associated reports. This dataset includes more than 160,0 00 images obtained from 67,0 00 patients that were interpreted and reported by radiologists at San Juan Hospital (Spain) from 2009 to 2017, covering six different position views and additional information on image acquisition and patient demography. The reports were labeled with 174 different radiographic findings, 19 differential diagnoses and 104 anatomic locations organized as a hierarchical taxonomy and mapped onto standard Unified Medical Language System (UMLS) terminology. Of these reports, 27% were manually annotated by trained physicians and the remaining set was labeled using a supervised method based on a recurrent neural network with attention mechanisms. The labels generated were then validated in an independent test set achieving a 0.93 Micro-F1 score. To the best of our knowledge, this is one of the largest public chest x-ray databases suitable for training supervised models concerning radiographs, and the first to contain radiographic reports in Spanish. The PadChest dataset can be downloaded from http://bimcv.cipf.es/bimcv-projects/padchest/. (C) 2020 Elsevier B.V. All rights reserved.ELSEVIER2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://fisabio.portalinvestigacion.com/publicaciones/8002MEDICAL IMAGE ANALYSISISSN: 13618415ISSNe: 13618423reponame:r-FISABIO. Repositorio Institucional de Producción Científicainstname:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)Inglésinfo:eu-repo/semantics/openAccessoai:fisabio.fundanetsuite.com:p80022026-06-11T12:45:17Z
dc.title.none.fl_str_mv PadChest: A large chest x-ray image dataset with multi-label annotated reports
title PadChest: A large chest x-ray image dataset with multi-label annotated reports
spellingShingle PadChest: A large chest x-ray image dataset with multi-label annotated reports
Bustos A
X-Ray image dataset
Deep neural networks
Radiographic findings
Differential diagnoses
Anatomical locations
title_short PadChest: A large chest x-ray image dataset with multi-label annotated reports
title_full PadChest: A large chest x-ray image dataset with multi-label annotated reports
title_fullStr PadChest: A large chest x-ray image dataset with multi-label annotated reports
title_full_unstemmed PadChest: A large chest x-ray image dataset with multi-label annotated reports
title_sort PadChest: A large chest x-ray image dataset with multi-label annotated reports
dc.creator.none.fl_str_mv Bustos A
Pertusa A
Salinas JM
de la Iglesia-Vayá M
author Bustos A
author_facet Bustos A
Pertusa A
Salinas JM
de la Iglesia-Vayá M
author_role author
author2 Pertusa A
Salinas JM
de la Iglesia-Vayá M
author2_role author
author
author
dc.subject.none.fl_str_mv X-Ray image dataset
Deep neural networks
Radiographic findings
Differential diagnoses
Anatomical locations
topic X-Ray image dataset
Deep neural networks
Radiographic findings
Differential diagnoses
Anatomical locations
description We present a labeled large-scale, high resolution chest x-ray dataset for the automated exploration of medical images along with their associated reports. This dataset includes more than 160,0 00 images obtained from 67,0 00 patients that were interpreted and reported by radiologists at San Juan Hospital (Spain) from 2009 to 2017, covering six different position views and additional information on image acquisition and patient demography. The reports were labeled with 174 different radiographic findings, 19 differential diagnoses and 104 anatomic locations organized as a hierarchical taxonomy and mapped onto standard Unified Medical Language System (UMLS) terminology. Of these reports, 27% were manually annotated by trained physicians and the remaining set was labeled using a supervised method based on a recurrent neural network with attention mechanisms. The labels generated were then validated in an independent test set achieving a 0.93 Micro-F1 score. To the best of our knowledge, this is one of the largest public chest x-ray databases suitable for training supervised models concerning radiographs, and the first to contain radiographic reports in Spanish. The PadChest dataset can be downloaded from http://bimcv.cipf.es/bimcv-projects/padchest/. (C) 2020 Elsevier B.V. All rights reserved.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://fisabio.portalinvestigacion.com/publicaciones/8002
url https://fisabio.portalinvestigacion.com/publicaciones/8002
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv ELSEVIER
publisher.none.fl_str_mv ELSEVIER
dc.source.none.fl_str_mv MEDICAL IMAGE ANALYSIS
ISSN: 13618415
ISSNe: 13618423
reponame:r-FISABIO. Repositorio Institucional de Producción Científica
instname:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
instname_str Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
reponame_str r-FISABIO. Repositorio Institucional de Producción Científica
collection r-FISABIO. Repositorio Institucional de Producción Científica
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410585320357888
score 15,811543

Similares en LA Referencia