Angiology: Open Access
Open Access

Department of General and Vascular Surgery, Rojava University, Al-Qamishli, Syria

Publications

• Commentary Article   
  Revolutionizing Cardiac Ablation: Machine Learning-Driven Segmentation of Computed Tomograms
  Author(s): Andrea Kennet*
  
  Cardiac ablation, a procedure in treating cardiac arrhythmias, demands precision and accuracy in targeting abnormal heart tissue. Computed Tomography (CT) scans play a pivotal role in planning such interventions. However, the manual segmentation of these scans to identify relevant anatomical structures can be time-consuming and prone to errors. Leveraging the power of machine learning, particularly with domain knowledge encoding, presents the way for automating and enhancing this segmentation process.. View More»
  DOI: 10.35841/2329-9495.24.12.428

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