Detecting insertion, substitution, and deletion errors in radiology reports using neural sequence-to-sequence models - ANNALS OF TRANSLATIONAL MEDICINE

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Zech, J. et al. Detecting insertion, substitution, and deletion errors in radiology reports using neural sequence-to-sequence models. Annals of Translational Medicine (2018). doi:10.21037/21131

http://atm.amegroups.com/article/view/21131

We build a bidirectional LSTM and train it to correct errors in usage and grammar in radiology reports

Eric Oermann