Fully automatic segmentation of right and left ventricle on short-axis cardiac MRI images

• Published in: Computerized medical imaging and graphics Vol. 85; p. 101786
• Main Authors: Budai, Adam, Suhai, Ferenc I., Csorba, Kristof, Toth, Attila, Szabo, Liliana, Vago, Hajnalka, Merkely, Bela
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.10.2020; Elsevier Science Ltd
• Subjects: Algorithms; Automation; Cardiovascular diseases; Cmr; Datasets; Deep learning; Epicardium; Heart; Image processing; Image segmentation; Internal Medicine; Magnetic resonance imaging; Medical imaging; Metric space; Other; Post-production processing; Segmentation; Short-axis image; Structure-function relationships; Training; Transfer learning; Ventricle; Deep learning; Cmr; Segmentation; Short-axis image; Image processing

Cardiac magnetic resonance imaging (CMR) is a widely used non-invasive imaging modality for evaluating cardiovascular diseases. CMR is the gold standard method for left and right ventricular functional assessment due to its ability to characterize myocardial structure and function and low intra- and...