Meniscal lesion detection and characterization in adult knee MRI: A deep learning model approach with external validation.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Published Date: Mar 1, 2021

Abstract

PURPOSE: Evaluation of a deep learning approach for the detection of meniscal tears and their characterization (presence/absence of migrated meniscal fragment).

Authors

  • B Rizk
    Centre d'Imagerie de Fribourg, Groupe 3R, Rue du Centre 10, 1752 Villars-sur-Glâne, Switzerland. Electronic address: benrizk@gmx.net.
  • H Brat
    Institut de Radiologie de Sion, Groupe 3R, Rue du Scex 2, Sion, Switzerland.
  • P Zille
    Incepto Medical, 128 rue La Boétie, Paris, France.
  • R Guillin
    Department of Medical Imaging, Centre Hospitalier Universitaire de Rennes, Rennes, France.
  • C Pouchy
    Incepto Medical, 128 rue La Boétie, Paris, France.
  • C Adam
    Incepto Medical, 128 rue La Boétie, Paris, France.
  • R Ardon
    Incepto Medical, 128 rue La Boétie, Paris, France.
  • G d'Assignies
    Incepto Medical, 128 rue La Boétie, Paris, France.

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