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Interpretable machine learning for automated left ventricular scar quantification in hypertrophic cardiomyopathy patients

Fig 1

Diagram of the 2D CNN model (SAUNet) used in this study with sample input and output (BCE = Binary Cross Entropy, CE = Cross Entropy, Conv = Convolutional Block, DA-Block = Dual Attention Block, Res. Block = Residual Block).

Fig 1

doi: https://doi.org/10.1371/journal.pdig.0000159.g001