Combined model-based and deep learning-based automated 3D zonal segmentation of the prostate on T2-weighted MR images: clinical evaluation.

Abstract

Authors

• Olivier Rouviere
  Hospices Civils de Lyon, Department of Urinary and Vascular Imaging, Hôpital Edouard Herriot, Lyon, France.
• Paul Cezar Moldovan
  Hospices Civils de Lyon, Department of Urinary and Vascular Imaging, Hôpital Edouard Herriot, Lyon, France.
• Anna Vlachomitrou
  Philips France, 33 rue de Verdun, CS 60 055, 92156, Suresnes Cedex, France.
• Sylvain Gouttard
  Department of Urinary and Vascular Imaging, Hôpital Edouard Herriot, Hospices Civils de Lyon, Pavillon B, 5 place d'Arsonval, F-69437, Lyon, France.
• Benjamin Riche
  Service de Biostatistique Et Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, F-69003, Lyon, France.
• Alexandra Groth
  Philips Research, Röntgenstrasse 24-26, 22335, Hamburg, Germany.
• Mark Rabotnikov
  Philips, MATAM Industrial Park, 3508409, Haifa, Israel.
• Alain Ruffion
  Service d'urologie Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon, France.
• Marc Colombel
  Université de Lyon, F-69003, Lyon, France.
• Sébastien Crouzet
  Department of Urology, Hôpital Edouard Herriot, Hospices Civils de Lyon, F-69437, Lyon, France.
• Juergen Weese
  Philips Research, Röntgenstrasse 24-26, 22335, Hamburg, Germany.
• Muriel Rabilloud
  Université de Lyon, F-69003, Lyon, France.

Keywords

External Resources