Published on in Vol 23, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19689, first published .
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

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

Honglei Liu   1, 2 , PhD ;   Zhiqiang Zhang   1, 2 , BS ;   Yan Xu   3 , MD ;   Ni Wang   1, 2 , BS ;   Yanqun Huang   1, 2 , BS ;   Zhenghan Yang   3 , MD ;   Rui Jiang   4 , PhD ;   Hui Chen   1, 2 , PhD

1 School of Biomedical Engineering, Capital Medical University, Beijing, China

2 Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing, China

3 Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China

4 Ministry of Education Key Laboratory of Bioinformatics, Research Department of Bioinformatics at the Beijing National Research Center for Information Science and Technology, Center for Synthetic and Systems Biology, Department of Automation, Tsinghua University, Beijing, China

Corresponding Author:

  • Hui Chen, PhD
  • School of Biomedical Engineering, Capital Medical University
  • No 10, Xitoutiao, Youanmen, Fengtai District
  • Beijing
  • China
  • Phone: 86 010-83911545
  • Email: chenhui@ccmu.edu.cn