Deep learning performance for detection and classification of microcalcifications on mammography.

Journal: European radiology experimental
Published Date: Nov 7, 2023

Abstract

BACKGROUND: Breast cancer screening through mammography is crucial for early detection, yet the demand for mammography services surpasses the capacity of radiologists. Artificial intelligence (AI) can assist in evaluating microcalcifications on mammography. We developed and tested an AI model for localizing and characterizing microcalcifications.

Authors

  • Filippo Pesapane
    Postgraduation School in Radiodiagnostics, Università Degli Studi di Milano, Via Festa del Perdono 7, 20122, Milan, Italy. filippo.pesapane@unimi.it.
  • Chiara Trentin
    Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Federica Ferrari
    Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Giulia Signorelli
    Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Priyan Tantrige
    Interventional Radiology, King's College Hospital, London, UK.
  • Marta Montesano
    Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Crispino Cicala
    Laife Reply, Milan, Italy.
  • Roberto Virgoli
    Laife Reply, Milan, Italy.
  • Silvia D'Acquisto
    Laife Reply, Milan, Italy.
  • Luca Nicosia
    Postgraduation School in Radiodiagnostics, Università Degli Studi di Milano, Via Festa del Perdono 7, 20122, Milan, Italy.
  • Daniela Origgi
    Medical Physics Unit, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Enrico Cassano
    Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.

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