Can convolutional neural networks identify external carotid artery calcifications?

Journal: Oral surgery, oral medicine, oral pathology and oral radiology
PMID: 37633789

Abstract

OBJECTIVE: We developed and evaluated the accuracy and reliability of a convolutional neural network (CNN) in detecting external carotid artery calcifications (ECACs) in cone beam computed tomography scans.

Authors

  • John Nelson
    Section of Oral and Maxillofacial Radiology, Division of Oral and Maxillofacial Diagnostic Sciences, UConn School of Dental Medicine, UConn Health, Farmington, CT, USA.
  • Anusha Vaddi
    Section of Oral and Maxillofacial Radiology, Division of Oral and Maxillofacial Diagnostic Sciences, UConn School of Dental Medicine, UConn Health, Farmington, CT, USA.
  • Aditya Tadinada
    Division of Oral and Maxillofacial Radiology, University of Connecticut Health, Farmington, Connecticut, USA.

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