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A deep-learning approach for myocardial fibrosis detection in early contrast-enhanced cardiac CT images.
Penso, Marco; Babbaro, Mario; Moccia, Sara; Baggiano, Andrea; Carerj, Maria Ludovica; Guglielmo, Marco; Fusini, Laura; Mushtaq, Saima; Andreini, Daniele; Pepi, Mauro; Pontone, Gianluca; Caiani, Enrico G.
Afiliação
  • Penso M; Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
  • Babbaro M; Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, Milan, Italy.
  • Moccia S; Department of Cardiology, IRCCS Policlinico San Donato, Milan, Italy.
  • Baggiano A; The BioRobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy.
  • Carerj ML; Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
  • Guglielmo M; Cardiovascular Section, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
  • Fusini L; Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
  • Mushtaq S; Department of Biomedical Sciences and Morphological and Functional Imaging, "G. Martino" University Hospital Messina, Messina, Italy.
  • Andreini D; Department of Cardiology, Division of Heart and Lungs, Utrecht University, Utrecht University Medical Center, Utrecht, Netherlands.
  • Pepi M; Department of Cardiology, Haga Teaching Hospital, The Hague, Netherlands.
  • Pontone G; Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
  • Caiani EG; Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, Milan, Italy.
Front Cardiovasc Med ; 10: 1151705, 2023.
Article em En | MEDLINE | ID: mdl-37424918
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Revista: Front Cardiovasc Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Revista: Front Cardiovasc Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália País de publicação: Suíça