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Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound images.
Bajaj, Retesh; Huang, Xingru; Kilic, Yakup; Ramasamy, Anantharaman; Jain, Ajay; Ozkor, Mick; Tufaro, Vincenzo; Safi, Hannah; Erdogan, Emrah; Serruys, Patrick W; Moon, James; Pugliese, Francesca; Mathur, Anthony; Torii, Ryo; Baumbach, Andreas; Dijkstra, Jouke; Zhang, Qianni; Bourantas, Christos V.
Afiliação
  • Bajaj R; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Cardiovascular Devices Hub, Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, UK.
  • Huang X; School of Electronic Engineering and Computer Science, Queen Mary University of London, UK.
  • Kilic Y; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK.
  • Ramasamy A; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Cardiovascular Devices Hub, Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, UK.
  • Jain A; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK.
  • Ozkor M; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK.
  • Tufaro V; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK.
  • Safi H; Department of Mechanical Engineering, University College London, London, UK.
  • Erdogan E; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK.
  • Serruys PW; Faculty of Medicine, National Heart & Lung Institute, Imperial College London, UK.
  • Moon J; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Institute of Cardiovascular Sciences, University College London, London, UK.
  • Pugliese F; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Cardiovascular Devices Hub, Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, UK.
  • Mathur A; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Cardiovascular Devices Hub, Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, UK.
  • Torii R; Department of Mechanical Engineering, University College London, London, UK.
  • Baumbach A; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Cardiovascular Devices Hub, Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, UK.
  • Dijkstra J; Department of Radiology, Division of Image Processing, Leiden University Medical Center, Leiden, the Netherlands.
  • Zhang Q; School of Electronic Engineering and Computer Science, Queen Mary University of London, UK.
  • Bourantas CV; Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Cardiovascular Devices Hub, Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, UK; Institute of Cardiovascular Sciences, University College London, Londo
Int J Cardiol ; 339: 185-191, 2021 09 15.
Article em En | MEDLINE | ID: mdl-34153412
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Placa Aterosclerótica / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Placa Aterosclerótica / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article