Comparative Effectiveness of Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) Architectures for Radiology Text Report Classification

This paper explores cutting-edge deep learning methods for information extraction from medical imaging free text reports at a multi-institutional scale and compares them to the state-of-the-art domain-specific rule-based system - PEFinder and traditional machine learning methods - SVM and Adaboost....

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Detalhes bibliográficos
Publicado no:Artif Intell Med
Main Authors: Banerjee, Imon, Ling, Yuan, Chen, Matthew C., Hasan, Sadid A., Langlotz, Curtis P., Moradzadeh, Nathaniel, Chapman, Brian, Amrhein, Timothy, Mong, David, Rubin, Daniel L., Farri, Oladimeji, Lungren, Matthew P.
Formato: Artigo
Idioma:Inglês
Publicado em: 2018
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6533167/
https://ncbi.nlm.nih.gov/pubmed/30477892
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.artmed.2018.11.004
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