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Achieving over 84% accuracy in myocardial infarction localization, MCF-Net revolutionizes echocardiography analysis by fusing motion cues with visual features across multiple views.
Fine-grained classification under regulatory constraints can be effectively achieved with a novel framework that ensures both accuracy and interpretability in decision-making paths.
