Deep learning analysis of contrast-enhanced spectral mammography to determine histoprognostic factors of malignant breast tumours.

Journal: European radiology
Published Date: Jan 29, 2022

Abstract

OBJECTIVE: To evaluate if a deep learning model can be used to characterise breast cancers on contrast-enhanced spectral mammography (CESM).

Authors

  • Caroline Dominique
    Department of Radiology and Nuclear Medicine, Henri Becquerel Cancer Centre, Rouen, France.
  • Françoise Callonnec
    Department of Radiology and Nuclear Medicine, Henri Becquerel Cancer Centre, Rouen, France.
  • Anca Berghian
    Department of Pathology, Henri Becquerel Cancer Centre, Rouen, France.
  • Diana Defta
    Department of Radiology and Nuclear Medicine, Henri Becquerel Cancer Centre, Rouen, France.
  • Pierre Vera
  • Romain Modzelewski
    Normandie Univ, UNIROUEN, UNIHAVRE, INSA Rouen, LITIS, 76000, Rouen, France; Henri Becquerel Center, Department of Nuclear Medicine, 76000, Rouen, France.
  • Pierre Decazes
    Department of Nuclear Medicine, Henri Becquerel Cancer Center, Rouen, France.

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