Supervised and unsupervised language modelling in Chest X-Ray radiological reports

Author:

Drozdov IgnatORCID,Forbes Daniel,Szubert Benjamin,Hall Mark,Carlin ChrisORCID,Lowe David J.ORCID

Funder

Innovate UK

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference50 articles.

1. Interpretation of plain chest roentgenogram;S Raoof;Chest,2012

2. Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks;M Annarumma;Radiology,2019

3. Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists;P Rajpurkar;PLoS Med,2018

4. Irvin J, Rajpurkar P, Ko M, Yu Y, Ciurea-Ilcus S, Chute C, et al. CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. arXiv e-prints [Internet]. 2019 January 01, 2019. https://ui.adsabs.harvard.edu/abs/2019arXiv190107031I.

5. Putha P, Tadepalli M, Reddy B, Raj T, Chiramal JA, Govil S, et al. Can Artificial Intelligence Reliably Report Chest X-Rays?: Radiologist Validation of an Algorithm trained on 2.3 Million X-Rays. arXiv e-prints [Internet]. 2018 July 01, 2018. https://ui.adsabs.harvard.edu/abs/2018arXiv180707455P.

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