TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-Rays-Reference-Cited by-同舟云学术

TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-Rays

Published:2018 Issue: Volume: Page:553-561
ISSN:0302-9743
Container-title:Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
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Author:

Laserson Jonathan,Lantsman Christine Dan,Cohen-Sfady Michal,Tamir Itamar,Goz Eli,Brestel Chen,Bar Shir,Atar Maya,Elnekave Eldad

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-00934-2_62

Reference10 articles.

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3. Bruno, M.A., Walker, E.A., Abujudeh, H.H.: Understanding and confronting our mistakes: the epidemiology of error in radiology and strategies for error reduction. RadioGraphics 35(6), 1668–1676 (2015)

4. Hanna, T.N., Lamoureux, C., Krupinski, E.A., Weber, S., Johnson, J.O.: Effect of shift, schedule, and volume on interpretive accuracy: a retrospective analysis of 2.9 million radiologic examinations. Radiology (2017) 170555

5. Huang, G., Liu, Z., van der Maaten, L., Weinberger, K.Q.: Densely connected convolutional networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2017)

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