Coronary X-ray angiography segmentation using Artificial Intelligence: a multicentric validation study of a deep learning model.

Journal: The international journal of cardiovascular imaging
PMID: 37027105

Abstract

INTRODUCTION: We previously developed an artificial intelligence (AI) model for automatic coronary angiography (CAG) segmentation, using deep learning. To validate this approach, the model was applied to a new dataset and results are reported.

Authors

  • Miguel Nobre Menezes
    Structural and Coronary Heart Disease Unit, Cardiovascular Center of the University of Lisbon, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal; Serviço de Cardiologia, Departamento de Coração e Vasos, CHULN Hospital de Santa Maria, Lisboa, Portugal. Electronic address: mnmenezes.gm@gmail.com.
  • João Lourenço Silva
    INESC-ID / Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
  • Beatriz Silva
    Structural and Coronary Heart Disease Unit, Cardiovascular Center of the University of Lisbon, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal; Serviço de Cardiologia, Departamento de Coração e Vasos, CHULN Hospital de Santa Maria, Lisboa, Portugal.
  • Tiago Rodrigues
    BioMachines Lab, Lisbon, Portugal.
  • Cláudio Guerreiro
    Centro Hospitalar de Vila Nova de Gaia, Porto, Portugal.
  • João Pedro Guedes
    Unidade de Hemodinâmica e Cardiologia de Intervenção, Serviço de Cardiologia, Centro Hospitalar Universitário do Algarve, Hospital de Faro, Faro, Portugal.
  • Manuel Oliveira Santos
    Unidade de Intervenção Cardiovascular, Serviço de Cardiologia do Centro Hospitalar e Universitário de Coimbra, Praceta Professor Mota Pinto, Coimbra, 3004-561, Portugal.
  • Arlindo L Oliveira
  • Fausto J Pinto
    Faculty of Medicine, University of Lisbon, Lisbon, Portugal.

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