Automated cardiovascular magnetic resonance image analysis with fully convolutional networks - Bai, Wenjia; Sinclair, Matthew; Tarroni, Giacomo; Oktay, Ozan; Rajchl, Martin; Vaillant, Ghislain; Lee, Aaron M.; Aung, Nay; Lukaschuk, Elena; Sanghvi, Mihir M.; Zemrak, Filip; Fung, Kenneth; et al. (Journal of cardiovascular magnetic resonance, 2018)
Keywords: Aged; Algorithms; Angiology; Annotations; Artificial intelligence; Artificial neural networks; Atrium; Automation; Cardiology; Cardiovascular diseases; Care and treatment; CAT scans; CMR image analysis; Databases, Factual; Datasets; Deep Learning; Diagnosis; Echocardiography; Female; Fully convolutional networks; Heart diseases; Heart Diseases - diagnostic imaging; Heart Diseases - physiopathology; Human performance; Humans; Image analysis; Image Interpretation, Computer-Assisted - methods; Image processing; Image segmentation; Imaging; International conferences; Machine learning; Magnetic resonance imaging; Magnetic Resonance Imaging, Cine - methods; Male; Medical imaging; Medicine; Medicine & Public Health; Middle Aged; Myocardial Contraction; Myocardium; Neural networks; Neural Networks, Computer; Object recognition; Observer Variation; Patient outcomes; Pattern recognition; Predictive Value of Tests; Radiology; Reproducibility of Results; Stroke Volume; Test sets; Ventricle; Ventricular Function, Left; Ventricular Function, Right; United Kingdom--UK; CMR image analysis; Fully convolutional networks; Machine learning