Diagnostic value of deep learning of multimodal imaging of thyroid for TI-RADS category 3-5 classification.
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| Title: | Diagnostic value of deep learning of multimodal imaging of thyroid for TI-RADS category 3-5 classification. |
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| Authors: | Qian T; Graduate School, The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, 310014, China.; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China., Feng X; School of Molecular Medicine, Hangzhou institute for Advanced Study, University of the Chinese Academy of Sciences, Hangzhou, Zhejiang, 310024, People's Republic of China., Zhou Y; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China.; Taizhou Key Laboratory of Minimally Invasive Interventional Therapy & Artificial Intelligence, Taizhou Campus of Zhejiang Cancer Hospital (Taizhou Cancer Hospital), Taizhou, 317502, China.; Wenling Institute of Big Data and Artificial Intelligence in Medicine, Taizhou, 317502, China., Ling S; Hangzhou Institute of Medicine, Chinese Academy of Sciences Hangzhou, Hangzhou, 310022, China., Yao J; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China.; Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou, 310022, China.; Zhejiang Provincial Research Center for Cancer Intelligent Diagnosis and Molecular Technology, Hangzhou, 310022, China., Lai M; Graduate School, The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, 310014, China., Chen C; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China.; Graduate School, Wannan Medical College, Wuhu, China., Lin J; Shangrao Guangxin District People's Hospital, Jiangxi, 334099, China., Xu D; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China. xudong@zjcc.org.cn.; Taizhou Key Laboratory of Minimally Invasive Interventional Therapy & Artificial Intelligence, Taizhou Campus of Zhejiang Cancer Hospital (Taizhou Cancer Hospital), Taizhou, 317502, China. xudong@zjcc.org.cn.; Wenling Institute of Big Data and Artificial Intelligence in Medicine, Taizhou, 317502, China. xudong@zjcc.org.cn.; Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou, 310022, China. xudong@zjcc.org.cn.; Zhejiang Provincial Research Center for Cancer Intelligent Diagnosis and Molecular Technology, Hangzhou, 310022, China. xudong@zjcc.org.cn. |
| Source: | Endocrine [Endocrine] 2025 Jun; Vol. 88 (3), pp. 776-785. Date of Electronic Publication: 2025 Mar 08. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 9434444 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1559-0100 (Electronic) Linking ISSN: 1355008X NLM ISO Abbreviation: Endocrine Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1559-0100 |
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| DOI: | 10.1007/s12020-025-04198-8 |
