Article

Discovery of cardiac imaging biomarkers by training neural network models across diagnostic modalities

2021-02-08

Abstract excerpt

Machines can be readily trained to automate medical image interpretation, with the primary goal of replicating human capabilities. Here, we propose an alternative role: using machine learning to discover pragmatic imaging-based biomarkers by interpreting one complex imaging modality via a second, more ubiquitous, lower-cost modality. We applied this strategy to train convolutional neural network models to estimate...

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Literature Corpus work: 685df3a3-07da-524a-af37-abc9b123f961
DOI: 10.1101/2021.02.07.21251025

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