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This study presents an automated method for analyzing cardiovascular magnetic resonance (CMR) images using fully convolutional networks (FCN), trained on a large dataset from the UK Biobank. The method demonstrates high performance in segmenting cardiac structures, achieving results comparable to human experts in measuring clinical parameters. This advancement aims to streamline CMR image analysis, reducing time and subjective errors associated with manual methods.
- Author
- rendar55
- Language
- EN