MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence

Autores
Pérez, Ernesto Rafael; Angelina, Emilio; Gómez Chávez, José Leonardo; Conti, Germán; Torres, Ramón; Peruchena, Nélida
Año de publicación
2024
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The MammoInsight project aims to revolutionize the interpretation of digital mammographic images through the integration of artificial intelligence (AI) models. Facing the challenge of early and accurate breast cancer detection, this web platform seeks to overcome the subjectivity and heavy workload of specialists, significantly improving survival rates and accelerating the diagnostic process. Through the development and implementation of AI modules for the automatic categorization of breast density, the classification of mammograms, and the detection and segmentation of anomalies, this represents a crucial advancement in the diagnosis of breast pathologies and has a positive impact on the field of radiology and public health.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Artificial Intelligence
Breast Cancer Diagnosis
Mammographic Images
Health Technology
Radiology
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:10915/177128
Acceder
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network_name_str SEDICI (UNLP)
spelling MammoInsight: Innovating Early Breast Cancer Detection through Artificial IntelligencePérez, Ernesto RafaelAngelina, EmilioGómez Chávez, José LeonardoConti, GermánTorres, RamónPeruchena, NélidaCiencias InformáticasArtificial IntelligenceBreast Cancer DiagnosisMammographic ImagesHealth TechnologyRadiologyThe MammoInsight project aims to revolutionize the interpretation of digital mammographic images through the integration of artificial intelligence (AI) models. Facing the challenge of early and accurate breast cancer detection, this web platform seeks to overcome the subjectivity and heavy workload of specialists, significantly improving survival rates and accelerating the diagnostic process. Through the development and implementation of AI modules for the automatic categorization of breast density, the classification of mammograms, and the detection and segmentation of anomalies, this represents a crucial advancement in the diagnosis of breast pathologies and has a positive impact on the field of radiology and public health.Sociedad Argentina de Informática e Investigación Operativa2024-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf102-105http://sedici.unlp.edu.ar/handle/10915/177128enginfo:eu-repo/semantics/altIdentifier/url/https://revistas.unlp.edu.ar/JAIIO/article/view/18555info:eu-repo/semantics/altIdentifier/issn/2451-7496info: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:UNLP2025-09-10T12:50:35Zoai:sedici.unlp.edu.ar:10915/177128Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-10 12:50:35.564SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence
title MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence
spellingShingle MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence
Pérez, Ernesto Rafael
Ciencias Informáticas
Artificial Intelligence
Breast Cancer Diagnosis
Mammographic Images
Health Technology
Radiology
title_short MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence
title_full MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence
title_fullStr MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence
title_full_unstemmed MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence
title_sort MammoInsight: Innovating Early Breast Cancer Detection through Artificial Intelligence
dc.creator.none.fl_str_mv Pérez, Ernesto Rafael
Angelina, Emilio
Gómez Chávez, José Leonardo
Conti, Germán
Torres, Ramón
Peruchena, Nélida
author Pérez, Ernesto Rafael
author_facet Pérez, Ernesto Rafael
Angelina, Emilio
Gómez Chávez, José Leonardo
Conti, Germán
Torres, Ramón
Peruchena, Nélida
author_role author
author2 Angelina, Emilio
Gómez Chávez, José Leonardo
Conti, Germán
Torres, Ramón
Peruchena, Nélida
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Artificial Intelligence
Breast Cancer Diagnosis
Mammographic Images
Health Technology
Radiology
topic Ciencias Informáticas
Artificial Intelligence
Breast Cancer Diagnosis
Mammographic Images
Health Technology
Radiology
dc.description.none.fl_txt_mv The MammoInsight project aims to revolutionize the interpretation of digital mammographic images through the integration of artificial intelligence (AI) models. Facing the challenge of early and accurate breast cancer detection, this web platform seeks to overcome the subjectivity and heavy workload of specialists, significantly improving survival rates and accelerating the diagnostic process. Through the development and implementation of AI modules for the automatic categorization of breast density, the classification of mammograms, and the detection and segmentation of anomalies, this represents a crucial advancement in the diagnosis of breast pathologies and has a positive impact on the field of radiology and public health.
Sociedad Argentina de Informática e Investigación Operativa
description The MammoInsight project aims to revolutionize the interpretation of digital mammographic images through the integration of artificial intelligence (AI) models. Facing the challenge of early and accurate breast cancer detection, this web platform seeks to overcome the subjectivity and heavy workload of specialists, significantly improving survival rates and accelerating the diagnostic process. Through the development and implementation of AI modules for the automatic categorization of breast density, the classification of mammograms, and the detection and segmentation of anomalies, this represents a crucial advancement in the diagnosis of breast pathologies and has a positive impact on the field of radiology and public health.
publishDate 2024
dc.date.none.fl_str_mv 2024-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
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info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/177128
url http://sedici.unlp.edu.ar/handle/10915/177128
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/18555
info:eu-repo/semantics/altIdentifier/issn/2451-7496
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
102-105
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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instname_str Universidad Nacional de La Plata
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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