Automated deep learning-based paradigm for high-risk plaque detection in B-mode common carotid ultrasound scans: an asymptomatic Japanese cohort study.

Journal: International angiology : a journal of the International Union of Angiology
PMID: 34825801

Abstract

BACKGROUND: The death due to stroke is caused by embolism of the arteries which is due to the rupture of the atherosclerotic lesions in carotid arteries. The lesion formation is over time, and thus, early screening is recommended for asymptomatic and moderate-risk patients. The previous techniques adopted conventional methods or semi-automated and, more recently, machine learning solutions. A handful of studies have emerged based on solo deep learning (SDL) models such as UNet architecture.

Authors

  • Pankaj K Jain
    Department of Electrical Engineering, NIT Raipur, Chhattisgarh, India.
  • Neeraj Sharma
    School of Biomedical Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh, India.
  • Luca Saba
    Department of Radiology, A.O.U., Italy.
  • Kosmas I Paraskevas
    Central Clinic, Athens, Greece.
  • Mandeep K Kalra
    Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
  • Amer Johri
    Division of Cardiology, Department of Medicine, Queen's University, Kingston, ON, Canada.
  • Andrew N Nicolaides
    International Union of Angiology, Nicosia, Cyprus.
  • Jasjit S Suri
    Advanced Knowledge Engineering Center, Global Biomedical Technologies, Inc., Roseville, CA, USA. Electronic address: jsuri@comcast.net.

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