Published August 28, 2020 | Version v1
Poster Open

Analysis of carotid plaque type based on deep learning techniques

Authors/Creators

  • 1. Bioengineering Research and Development Center (BioIRC), Serbia
  • 2. Faculty of medicine, University of Belgrade, Serbia
  • 3. University of Kragujevac, Serbia

Description

In this paper, we presented different deep learning approaches for automatic characterization of plaque composition in carotid US images. Our preliminary results showed promising accuracy for atherosclerotic plaque type classification, but risk stratification of carotid atherosclerotic patients remains challenging due to complexity of the tissue and additional risk factors which contribute to the stratification.

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VPH2020_Abstract.pdf

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Additional details

Funding

European Commission
TAXINOMISIS - A multidisciplinary approach for the stratification of patients with carotid artery disease 755320