HVSMR-2.0: A 3D cardiovascular MR dataset for whole-heart segmentation in congenital heart disease Patients with congenital heart disease often have cardiac anatomy that deviates significantly f
Abstract This work aimed to automatically segment and classify the coronary arteries with either normal or anomalous origin from the aorta (AAOCA) using convolutional neural networks (CNNs), seekin
Comparative evaluation of deep learning architectures, including UNet, TransUNet, and MIST, for left atrium segmentation in cardiac computed tomography of congenital heart diseases
The Sunnybrook Cardiac Data (SCD) , also known as the 2009 Cardiac MR Left Ventricle Segmentation Challenge data, consist of 45 cine-MRI images from a mixed of patient
The current challenge in effectively treating atrial fibrillation (AF) stems from a limited understanding of the intricate structure of the human atria. The objective and quantitative interpretation o
