A deep learning-based pipeline for infarct size quantification on cardiac MRI demonstrated stronger correlations with cardiac biomarkers compared to manual measurements.
Does a deep learning-based pipeline for infarct size quantification on cardiac MRI improve correlation with cardiac biomarkers compared to manual measurements?
A deep learning-based pipeline for quantifying infarct size on cardiac MRI correlates better with cardiac biomarkers than manual measurements, supporting its clinical applicability.
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A deep learning–based pipeline developed for infarct size quantification on cardiac MR images demonstrated stronger correlations with cardiac biomarkers than manual measurements did, supporting its clinical applicability.
Schwab et al. (Mon,) reported a other. A deep learning-based pipeline for infarct size quantification on cardiac MRI demonstrated stronger correlations with cardiac biomarkers compared to manual measurements.