Learning to estimate label uncertainty for automatic radiology report parsing

1 Oct 2019 Tobi Olatunji Li Yao

Bootstrapping labels from radiology reports has become the scalable alternative to provide inexpensive ground truth for medical imaging. Because of the domain specific nature, state-of-the-art report labeling tools are predominantly rule-based... (read more)

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