Improved diagnosis of thyroid cancer aided with deep learning applied to sonographic text reports: a retrospective, multi-cohort, diagnostic study

Improved diagnosis of thyroid cancer aided with deep learning applied to sonographic text reports: a retrospective, multi-cohort, diagnostic study

Objective: Large volume radiological text data have been accumulated since the incorporation of electronic health record (EHR) systems in clinical practice. We aimed to determine whether deep natural language processing algorithms could aid radiologists in improving thyroid cancer diagnosis. Methods...

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Bibliographic Details
Main Authors: Qiang Zhang, Sheng Zhang, Jianxin Li, Yi Pan, Jing Zhao, Yixing Feng, Yanhui Zhao, Xiaoqing Wang, Zhiming Zheng, Xiangming Yang, Lixia Liu, Chunxin Qin, Ke Zhao, Xiaonan Liu, Caixia Li, Liuyang Zhang, Chunrui Yang, Na Zhuo, Hong Zhang, Jie Liu, Jinglei Gao, Xiaoling Di, Fanbo Meng, Wei Ji, Meng Yang, Xiaojie Xin, Xi Wei, Rui Jin, Lun Zhang, Xudong Wang, Fengju Song, Xiangqian Zheng, Ming Gao, Kexin Chen, Xiangchun Li
Format: Article
Language:English
Published: China Anti-Cancer Association 2022-05-01
Series:Cancer Biology & Medicine
Subjects:
thyroid cancer
sonographic text report
deep learning
natural language process
Online Access:https://www.cancerbiomed.org/content/19/5/733

Internet

https://www.cancerbiomed.org/content/19/5/733

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