Comprehensive Word-Level Classification of Screening Mammography Reports Using a Neural Network Sequence Labeling Approach.
Radiology reports contain a large amount of potentially valuable unstructured data. Recently, neural networks have been employed to perform classification of radiology reports over a few classes at the document level. The success of neural networks in sequence-labeling problems such as named entity...
| Published in: | Journal of Digital Imaging Vol. 32; no. 5; pp. 685 - 693 |
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| Main Authors: | , , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Oct2019
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| Online Access: | View this record in EBSCOhost |