Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic im...
Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study
About this item
Full title
Author / Creator
Li, Xiangchun , Zhang, Sheng , Zhang, Qiang , Wei, Xi , Pan, Yi , Zhao, Jing , Xin, Xiaojie , Qin, Chunxin , Wang, Xiaoqing , Li, Jianxin , Yang, Fan , Zhao, Yanhui , Yang, Meng , Wang, Qinghua , Zheng, Zhiming , Zheng, Xiangqian , Yang, Xiangming , Whitlow, Christopher T , Gurcan, Metin Nafi , Zhang, Lun , Wang, Xudong , Pasche, Boris C , Gao, Ming , Zhang, Wei and Chen, Kexin
Publisher
England: Elsevier Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: Elsevier Ltd
Subjects
More information
Scope and Contents
Contents
The incidence of thyroid cancer is rising steadily because of overdiagnosis and overtreatment conferred by widespread use of sensitive imaging techniques for screening. This overall incidence growth is especially driven by increased diagnosis of indolent and well-differentiated papillary subtype and early-stage thyroid cancer, whereas the incidence...
Alternative Titles
Full title
Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study
Authors, Artists and Contributors
Author / Creator
Zhang, Sheng
Zhang, Qiang
Wei, Xi
Pan, Yi
Zhao, Jing
Xin, Xiaojie
Qin, Chunxin
Wang, Xiaoqing
Li, Jianxin
Yang, Fan
Zhao, Yanhui
Yang, Meng
Wang, Qinghua
Zheng, Zhiming
Zheng, Xiangqian
Yang, Xiangming
Whitlow, Christopher T
Gurcan, Metin Nafi
Zhang, Lun
Wang, Xudong
Pasche, Boris C
Gao, Ming
Zhang, Wei
Chen, Kexin
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7083202
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7083202
Other Identifiers
ISSN
1470-2045
E-ISSN
1474-5488
DOI
10.1016/S1470-2045(18)30762-9
