Published May 20, 2022 | Version v1
Conference paper Open

IMPROVED THREE-DIMENSIONAL RECONSTRUCTION OF PATIENT-SPECIFIC CAROTID BIFURCATION USING DEEP LEARNING BASED SEGMENTATION OF ULTRASOUND IMAGES

Creators

  • 1. Faculty of Engineering University of Kragujevac
  • 2. Institute for Information Technologies, University of Kragujevac, Serbia; Bioengineering Research and Development Center, BioIRC, 34000 Kragujevac, Serbia
  • 3. Clinic for Vascular and Endovascular Surgery, Serbian Clinical Centre, Belgrade, Serbia
  • 4. Faculty of Science, University of Kragujevac, Serbia; BioIRC, Bioengineering Research and Development Center, Prvoslava Stojanovica 6, 34000 Kragujevac; Bioengineering Research and Development Center, BioIRC, 34000 Kragujevac, Serbia
  • 5. Faculty of Engineering, University of Kragujevac, Serbia; Bioengineering Research and Development Center (BioIRC), Kragujevac, Serbia; Bioengineering Research and Development Center, BioIRC, 34000 Kragujevac, Serbia

Description

"Improved Three-dimensional Reconstruction of Patient-Specific Carotid Bifurcation Using Deep Learning Based Segmentation of Ultrasound Images" has been presented at the First Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, May 19th – 20th, 2022

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Additional details

Funding

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