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"Highly accurate classification of chest radiographic reports using a deep ..."

Keno K. Bressem et al. (2021)

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DOI: 10.1093/bioinformatics/btaa668

access: closed

type: Journal Article

metadata version: 2022-10-02

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  - journals/bioinformatics/BressemAGTHMSVN21
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  - https://dblp.org/rec/journals/bioinformatics/BressemAGTHMSVN21
Keno K. Bressem, Lisa C. Adams, Robert A. Gaudin, Daniel Tröltzsch, Bernd Hamm, Marcus R. Makowski, Chan-Yong Schüle, Janis Lucas Vahldiek, Stefan Markus Niehues:
Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports. Bioinform. 36(21): 5255-5261 (2021)

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