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

Author:

Zhang Qiang,Zhang Sheng,Li Jianxin,Pan Yi,Zhao Jing,Feng Yixing,Zhao Yanhui,Wang Xiaoqing,Zheng Zhiming,Yang Xiangming,Liu Lixia,Qin Chunxin,Zhao Ke,Liu Xiaonan,Li Caixia,Zhang Liuyang,Yang Chunrui,Zhuo Na,Zhang Hong,Liu Jie,Gao Jinglei,Di Xiaoling,Meng Fanbo,Ji Wei,Yang Meng,Xin Xiaojie,Wei Xi,Jin Rui,Zhang Lun,Wang Xudong,Song Fengju,Zheng Xiangqian,Gao Ming,Chen Kexin,Li Xiangchun

Publisher

Cancer Biology and Medicine

Subject

Cancer Research,Oncology

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Systematic Review of Natural Language Processing Methods and Applications in Thyroidology;Mayo Clinic Proceedings: Digital Health;2024-06

2. From Bench-to-Bedside: How Artificial Intelligence is Changing Thyroid Nodule Diagnostics, a Systematic Review;The Journal of Clinical Endocrinology & Metabolism;2024-04-29

3. Deep Learning Methods for Diagnosing Thyroid Cancer;Journal of Engineering and Science in Medical Diagnostics and Therapy;2024-02-28

4. Cohort profile: design and methods of the Chinese colorectal, breast, lung, liver, and stomach cancer screening trial (C-BLAST);Cancer Biology & Medicine;2023-10-27

5. A Biomedical Entity Extraction Pipeline for Oncology Health Records in Portuguese;Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing;2023-03-27

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