Automatic breast lesion detection in ultrafast DCE-MRI using deep learning.

Journal: Medical physics
Published Date: Aug 30, 2021

Abstract

PURPOSE: We propose a deep learning-based computer-aided detection (CADe) method to detect breast lesions in ultrafast DCE-MRI sequences. This method uses both the 3D spatial information and temporal information obtained from the early-phase of the dynamic acquisition.

Authors

  • Fazael Ayatollahi
    Electrical Engineering Department, Iran University of Science and Technology (IUST), Tehran, Iran.
  • Shahriar B Shokouhi
    Electrical Engineering Department, Iran University of Science and Technology (IUST), Tehran, Iran.
  • Ritse M Mann
    Department of Radiology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Jonas Teuwen
    Department of Radiology and Nuclear Medicine, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.

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