Deep Learning for Describing Breast Ultrasound Images with BI-RADS Terms

Detalles Bibliográficos
Autores: Carrilero-Mardones, Mikel, Parras-Jurado, Manuela, Nogales, Alberto, Pérez-Martín, Jorge, Díez, Francisco Javier
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad Francisco de Vitoria
Repositorio:DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
Idioma:inglés
OAI Identifier:oai:ddfv.ufv.es:10641/6451
Acceso en línea:https://hdl.handle.net/10641/6451
Access Level:acceso abierto
Palabra clave:Attention mechanisms
BI-RADS
Breast ultrasound
Computer-aided diagnosis
Explainable artificial intelligence
Medical image captioning
Computer Science Applications
Radiology Nuclear Medicine and imaging
Radiological and Ultrasound Technology
SDG 3 - Good Health and Well-being
Journal Article
Yes
yes
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repository_id_str
spelling Deep Learning for Describing Breast Ultrasound Images with BI-RADS TermsCarrilero-Mardones, MikelParras-Jurado, ManuelaNogales, AlbertoPérez-Martín, JorgeDíez, Francisco JavierAttention mechanismsBI-RADSBreast ultrasoundComputer-aided diagnosisExplainable artificial intelligenceMedical image captioningComputer Science ApplicationsRadiology Nuclear Medicine and imagingRadiological and Ultrasound TechnologySDG 3 - Good Health and Well-beingJournal ArticleYesyesEscuela Politécnica Superior20242024-12-0120242024-12-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10641/6451reponame:DDFV. Repositorio Institucional de la Universidad Francisco de Vitoriainstname:Universidad Francisco de VitoriaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ddfv.ufv.es:10641/64512026-06-11T12:44:57Z
dc.title.none.fl_str_mv Deep Learning for Describing Breast Ultrasound Images with BI-RADS Terms
title Deep Learning for Describing Breast Ultrasound Images with BI-RADS Terms
spellingShingle Deep Learning for Describing Breast Ultrasound Images with BI-RADS Terms
Carrilero-Mardones, Mikel
Attention mechanisms
BI-RADS
Breast ultrasound
Computer-aided diagnosis
Explainable artificial intelligence
Medical image captioning
Computer Science Applications
Radiology Nuclear Medicine and imaging
Radiological and Ultrasound Technology
SDG 3 - Good Health and Well-being
Journal Article
Yes
yes
title_short Deep Learning for Describing Breast Ultrasound Images with BI-RADS Terms
title_full Deep Learning for Describing Breast Ultrasound Images with BI-RADS Terms
title_fullStr Deep Learning for Describing Breast Ultrasound Images with BI-RADS Terms
title_full_unstemmed Deep Learning for Describing Breast Ultrasound Images with BI-RADS Terms
title_sort Deep Learning for Describing Breast Ultrasound Images with BI-RADS Terms
dc.creator.none.fl_str_mv Carrilero-Mardones, Mikel
Parras-Jurado, Manuela
Nogales, Alberto
Pérez-Martín, Jorge
Díez, Francisco Javier
author Carrilero-Mardones, Mikel
author_facet Carrilero-Mardones, Mikel
Parras-Jurado, Manuela
Nogales, Alberto
Pérez-Martín, Jorge
Díez, Francisco Javier
author_role author
author2 Parras-Jurado, Manuela
Nogales, Alberto
Pérez-Martín, Jorge
Díez, Francisco Javier
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Escuela Politécnica Superior
dc.subject.none.fl_str_mv Attention mechanisms
BI-RADS
Breast ultrasound
Computer-aided diagnosis
Explainable artificial intelligence
Medical image captioning
Computer Science Applications
Radiology Nuclear Medicine and imaging
Radiological and Ultrasound Technology
SDG 3 - Good Health and Well-being
Journal Article
Yes
yes
topic Attention mechanisms
BI-RADS
Breast ultrasound
Computer-aided diagnosis
Explainable artificial intelligence
Medical image captioning
Computer Science Applications
Radiology Nuclear Medicine and imaging
Radiological and Ultrasound Technology
SDG 3 - Good Health and Well-being
Journal Article
Yes
yes
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-12-01
2024
2024-12-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10641/6451
url https://hdl.handle.net/10641/6451
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
instname:Universidad Francisco de Vitoria
instname_str Universidad Francisco de Vitoria
reponame_str DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
collection DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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