Artificial intelligence solution to classify pulmonary nodules on CT.

Journal: Diagnostic and interventional imaging
Published Date:

Abstract

PURPOSE: The purpose of this study was to create an algorithm to detect and classify pulmonary nodules in two categories based on their volume greater than 100 mm or not, using machine learning and deep learning techniques.

Authors

  • D Blanc
    QuantaCell, IRMB, Hôpital Saint-Eloi, 34090 Montpellier, France.
  • V Racine
    QuantaCell, IRMB, Hôpital Saint-Eloi, 34090 Montpellier, France.
  • A Khalil
    Department of Radiology, Hôpital Bichat, Assistance Publique-Hopitaux de Paris, 75018 Paris, France.
  • M Deloche
    >IBM Cognitive Systems Lab, 34000 Montpellier, France.
  • J-A Broyelle
    >IBM Cognitive Systems Lab, 34000 Montpellier, France.
  • I Hammouamri
    >IBM Cognitive Systems Lab, 34000 Montpellier, France.
  • E Sinitambirivoutin
    >IBM Cognitive Systems Lab, 34000 Montpellier, France.
  • M Fiammante
    IBM Cognitive Systems France, 92270 Bois-Colombes, France.
  • E Verdier
    IBM Cognitive Systems France, 92270 Bois-Colombes, France.
  • T Besson
    IBM Cognitive Systems France, 92270 Bois-Colombes, France.
  • A Sadate
    Department of Radiology, CHU Nîmes, 30189 Nîmes, France.
  • M Lederlin
    Department of Radiology, CHU Rennes, 35033 Rennes, France.
  • F Laurent
    Department of Radiology, CHU de Bordeaux, 33000 Bordeaux, France.
  • G Chassagnon
    Department of Radiology, Cochin Hospital, Assistance Publique-Hopitaux de Paris, 75014 Paris, France; Université de Paris, Descartes-Paris 5, 75006 Paris, France.
  • G Ferretti
    Department of Radiology and Medical Imaging, CHU Grenoble Alpes, 38700 Grenoble, France.
  • Y Diascorn
    Department of Radiology, CHU de Nice, Hôpital Pasteur, 06000 Nice, France.
  • P-Y Brillet
    Inserm UMR 1272, Université Sorbonne Paris Nord, Assistance Publique-Hôpitaux de Paris, Department of Radiology, Hôpital Avicenne, 93430 Bobigny, France.
  • Lucie Cassagnes
    Department of radiology B, CHU Gabriel Montpied, 63003 Clermont-Ferrand, France.
  • C Caramella
    Department of Radiology, Institut Gustave-Roussy, 114, rue Édouard-Vaillant, 94805 Villejuif, France; IR4M, UMR 8081, CNRS, Université Paris-Sud, Université Paris-Saclay, 91400 Orsay, France.
  • A Loubet
    Department of Radiology, CHU Montpellier, 34295 Montpellier, France.
  • N Abassebay
    Department of Radiology, CH Douai, 59507 Douai, France.
  • P Cuingnet
    Department of Radiology, CH Douai, 59507 Douai, France.
  • M Ohana
    Department of Radiology, Nouvel Hôpital Civil, 67000 Strasbourg, France.
  • J Behr
    Department of Radiology, CHRU de Besançon, 25000 Besançon, France.
  • A Ginzac
    Clinical Research Unit, Clinical Research and Innovation Delegation, Centre de Lutte contre le Cancer, Centre Jean Perrin, 63011 Clermont-Ferrand Cedex 1, France; Université Clermont Auvergne,INSERM, U1240 Imagerie Moléculaire et Stratégies Théranostiques, Centre Jean Perrin, 63011 Clermont-Ferrand, France; Clinical Investigation Center, UMR501, 63011 Clermont-Ferrand, France.
  • H Veyssiere
    Clinical Research Unit, Clinical Research and Innovation Delegation, Centre de Lutte contre le Cancer, Centre Jean Perrin, 63011 Clermont-Ferrand Cedex 1, France; Université Clermont Auvergne,INSERM, U1240 Imagerie Moléculaire et Stratégies Théranostiques, Centre Jean Perrin, 63011 Clermont-Ferrand, France; Clinical Investigation Center, UMR501, 63011 Clermont-Ferrand, France.
  • X Durando
    Clinical Research Unit, Clinical Research and Innovation Delegation, Centre de Lutte contre le Cancer, Centre Jean Perrin, 63011 Clermont-Ferrand Cedex 1, France; Université Clermont Auvergne,INSERM, U1240 Imagerie Moléculaire et Stratégies Théranostiques, Centre Jean Perrin, 63011 Clermont-Ferrand, France; Clinical Investigation Center, UMR501, 63011 Clermont-Ferrand, France; Department of Medical Oncology, Centre Jean Perrin, 63011 Clermont-Ferrand, France.
  • I Bousaid
    Direction de la Transformation Numérique et des Systèmes d'Information, Gustave Roussy, 94800 Villejuif, France.
  • N Lassau
    Department of Radiology, Gustave Roussy, IR4M, UMR8081, CNRS, Université Paris-Sud, Université Paris-Saclay, 94805 Villejuif, France.
  • J Brehant
    Department of Radiology, Centre Jean Perrin, 63011 Clermont-Ferrand, France. Electronic address: Julien.brehant@clermont.unicancer.fr.