Diversity of approaches in artificial intelligence: an opportunity for discoveries in thoracic imaging.

Abstract

Authors

• Guillaume Chassagnon
  Department of Radiology, Hopital Cochin, APHP, 75014 Paris, France; Université Paris Cité, 75006 Paris, France.
• Aliénor Campredon
  Radiology Department, Hopital Cochin - AP-HP. Centre Université de Paris, 27 Rue du Faubourg Saint-Jacques, Paris 75014, France.
• Maria Vakalopoulou
  Ecole CentraleSupelec, 91190, Gif-sur-Yvette, France.
• Pierre-Régis Burgel
  Department of Radiology (G.C., S.D., M.P.R.) and Respiratory Medicine and National Cystic Reference Center (P.R.B.), Groupe Hospitalier Cochin-Hotel Dieu, AP-HP, Université Paris Descartes, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; Center for Visual Computing, Ecole CentraleSupelec, Grande Voie des Vignes, Chatenay Malabry, France (G.C., E.I.Z., N.P.); U1016 Inserm, Institut Cochin, Paris, France (G.C., P.R.B., C.M., M.P.R.); Radiology Department (S.B.) and Pulmonary Department (R.C.), Hôpital Arnaud de Villeneuve, CHU de Montpellier, Université de Montpellier, Montpellier, France; ERN-Lung CF Network, France (P.R.B., C.M.); and TheraPanacea, Paris-Biotech-Santé, Paris, France (N.P.).

Keywords

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