CheXmask: A large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images

Autores
Gaggion, Nicolás; Mosquera, Candelaria; Mansilla, Lucas; Saidman, Julia Mariel; Aineseder, Martina; Milone, Diego H.; Ferrante, Enzo
Año de publicación
2025
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This study introduces CheXmask, an extensive chest X-ray segmentation dataset with 657,566 anatomical masks across five major public databases: ChestX-ray8, Chexpert, MIMIC-CXR-JPG, Padchest, and VinDr-CXR. The dataset addresses the critical shortage of pixel-level anatomical annotations required for developing robust deep learning segmentation models for chest radiography analysis.
En documentos relacionados se encuentra disponible el artículo completo.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
artificial intelligence
chest X-ray analysis
datase
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/190457
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/190457
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling CheXmask: A large-scale dataset of anatomical segmentation masks for multi-center chest x-ray imagesCheXmask: A large-scale dataset of anatomical segmentation masks for multi-center chest x-ray imagesGaggion, NicolásMosquera, CandelariaMansilla, LucasSaidman, Julia MarielAineseder, MartinaMilone, Diego H.Ferrante, EnzoCiencias Informáticasartificial intelligencechest X-ray analysisdataseThis study introduces CheXmask, an extensive chest X-ray segmentation dataset with 657,566 anatomical masks across five major public databases: ChestX-ray8, Chexpert, MIMIC-CXR-JPG, Padchest, and VinDr-CXR. The dataset addresses the critical shortage of pixel-level anatomical annotations required for developing robust deep learning segmentation models for chest radiography analysis.En documentos relacionados se encuentra disponible el artículo completo.Sociedad Argentina de Informática e Investigación Operativa2025-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionResumenhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf38http://sedici.unlp.edu.ar/handle/10915/190457enginfo:eu-repo/semantics/altIdentifier/url/https://revistas.unlp.edu.ar/JAIIO/article/view/19564info:eu-repo/semantics/altIdentifier/issn/2451-7496info:eu-repo/semantics/reference/doi/10.1038/s41597-024-03358-1info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-02-26T11:39:47Zoai:sedici.unlp.edu.ar:10915/190457Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-02-26 11:39:47.734SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv CheXmask: A large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
CheXmask: A large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
title CheXmask: A large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
spellingShingle CheXmask: A large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
Gaggion, Nicolás
Ciencias Informáticas
artificial intelligence
chest X-ray analysis
datase
title_short CheXmask: A large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
title_full CheXmask: A large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
title_fullStr CheXmask: A large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
title_full_unstemmed CheXmask: A large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
title_sort CheXmask: A large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
dc.creator.none.fl_str_mv Gaggion, Nicolás
Mosquera, Candelaria
Mansilla, Lucas
Saidman, Julia Mariel
Aineseder, Martina
Milone, Diego H.
Ferrante, Enzo
author Gaggion, Nicolás
author_facet Gaggion, Nicolás
Mosquera, Candelaria
Mansilla, Lucas
Saidman, Julia Mariel
Aineseder, Martina
Milone, Diego H.
Ferrante, Enzo
author_role author
author2 Mosquera, Candelaria
Mansilla, Lucas
Saidman, Julia Mariel
Aineseder, Martina
Milone, Diego H.
Ferrante, Enzo
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
artificial intelligence
chest X-ray analysis
datase
topic Ciencias Informáticas
artificial intelligence
chest X-ray analysis
datase
dc.description.none.fl_txt_mv This study introduces CheXmask, an extensive chest X-ray segmentation dataset with 657,566 anatomical masks across five major public databases: ChestX-ray8, Chexpert, MIMIC-CXR-JPG, Padchest, and VinDr-CXR. The dataset addresses the critical shortage of pixel-level anatomical annotations required for developing robust deep learning segmentation models for chest radiography analysis.
En documentos relacionados se encuentra disponible el artículo completo.
Sociedad Argentina de Informática e Investigación Operativa
description This study introduces CheXmask, an extensive chest X-ray segmentation dataset with 657,566 anatomical masks across five major public databases: ChestX-ray8, Chexpert, MIMIC-CXR-JPG, Padchest, and VinDr-CXR. The dataset addresses the critical shortage of pixel-level anatomical annotations required for developing robust deep learning segmentation models for chest radiography analysis.
publishDate 2025
dc.date.none.fl_str_mv 2025-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Resumen
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/190457
url http://sedici.unlp.edu.ar/handle/10915/190457
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://revistas.unlp.edu.ar/JAIIO/article/view/19564
info:eu-repo/semantics/altIdentifier/issn/2451-7496
info:eu-repo/semantics/reference/doi/10.1038/s41597-024-03358-1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
38
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 12.665996

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