MECardNet: A novel multi-scale convolutional ensemble model with adaptive deep supervision for precise cardiac MRI segmentation
Accurate segmentation of the left ventricle, right ventricle, and myocardium is essential for
estimating key cardiac parameters in diagnostic procedures. However, automating …
estimating key cardiac parameters in diagnostic procedures. However, automating …
CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI
Cardiovascular MRI (CMRI) is a non-invasive imaging technique adopted for assessing the
blood circulatory system's structure and function. Precise image segmentation is required to …
blood circulatory system's structure and function. Precise image segmentation is required to …
Synthetic Balancing of Cardiac MRI Datasets
Possessing a balanced dataset to train the segmentation models used in clinical products is
hugely important to enhance the performance in any given subset of patients. Due to …
hugely important to enhance the performance in any given subset of patients. Due to …
Generalisable Cardiac MRI Analysis with Deep Learning
C Garcia Cabrera - 2024 - doras.dcu.ie
Cardiac Magnetic Resonance Imaging (CMR) is a powerful diagnostic tool for assessing
cardiac structure and function, providing detailed information crucial for clinical decision …
cardiac structure and function, providing detailed information crucial for clinical decision …