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Published May 20, 2023 | Version v1
Conference paper Open

An Unsupervised Image Segmentation Workflow for Extraction of Left Coronary Artery from X-ray Coronary Angiography

Creators

  • 1. Institute for Information Technologies, University of Kragujevac, Serbia
  • 2. Bioengineering Research and Development Center - BioIRC, Kragujevac, Serbia
  • 3. Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia

Description

An Unsupervised Image Segmentation Workflow for Extraction of Left Coronary Artery from X-ray Coronary Angiography, presented at the 2nd Serbian International Conference on Applied Artificial Intelligence (SICAAI), 19-20 May 2023, Kragujevac, Serbia

Files

AN UNSUPERVISED IMAGE SEGMENTATION WORKFLOW FOR EXTRACTION OF LEFT CORONARY ARTERY FROM X-RAY CORONARY ANGIOGRAPHY.pdf

Files (583.4 kB)

Additional details

Funding

SGABU – Increasing scientific, technological and innovation capacity of Serbia as a Widening country in the domain of multiscale modelling and medical informatics in biomedical engineering 952603
European Commission