Use of BERT (Bidirectional Encoder Representations from Transformers)-Based Deep Learning Method for Extracting Evidences in Chinese Radiology Reports: Development of a Computer-Aided Liver Cancer Diagnosis Framework

Use of BERT (Bidirectional Encoder Representations from Transformers)-Based Deep Learning Method for Extracting Evidences in Chinese Radiology Reports: Development of a Computer-Aided Liver Cancer Diagnosis Framework

BackgroundLiver cancer is a substantial disease burden in China. As one of the primary diagnostic tools for detecting liver cancer, dynamic contrast-enhanced computed tomography provides detailed evidences for diagnosis that are recorded in free-text radiology reports....

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Bibliographic Details
Main Authors: Liu, Honglei, Zhang, Zhiqiang, Xu, Yan, Wang, Ni, Huang, Yanqun, Yang, Zhenghan, Jiang, Rui, Chen, Hui
Format: Article
Language:English
Published: JMIR Publications 2021-01-01
Series:Journal of Medical Internet Research
Online Access:http://www.jmir.org/2021/1/e19689/

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http://www.jmir.org/2021/1/e19689/

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