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....

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Artif Intell Med
Hauptverfasser: 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.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2018
Schlagworte:
Article
Online Zugang: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
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge