Article

ENRICHing Medical Imaging Training Sets Enables More Efficient Machine Learning

2021-05-25

Abstract excerpt

<h4>Objective</h4> Deep learning (DL) has been applied in proofs of concept across biomedical imaging, including across modalities and medical specialties 1–17 . Labeled data is critical to training and testing DL models, but human expert labelers are limited. In addition, DL traditionally requires copious training data, which is computationally expensive to process and iterate over. Consequently, it is useful to...

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Literature Corpus work: 03cc7886-bf90-5b8e-a3fb-4fa6ef44b703
DOI: 10.1101/2021.05.22.21257645

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