Malignancy prediction for calcified thyroid nodules using deep learning based on ultrasound dynamic videos.
Saved in:
| Title: | Malignancy prediction for calcified thyroid nodules using deep learning based on ultrasound dynamic videos. |
|---|---|
| Authors: | Qian T; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, 310022, China.; Graduate School, The Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, 310014, China., Zhou Y; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, 310022, China.; Research Center of Interventional Medicine and Engineering, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310000, China.; Center of Intelligent Diagnosis and Therapy (Taizhou), Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Taizhou, Zhejiang, 317502, China., Asif S; Taizhou Key Laboratory of Minimally Invasive Interventional Therapy & Artificial Intelligence, Taizhou Branch of Zhejiang Cancer Hospital (Taizhou Cancer Hospital), Taizhou, Zhejiang, 317502, China., Zhang Y; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, 310022, China.; Research Center of Interventional Medicine and Engineering, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310000, China.; Center of Intelligent Diagnosis and Therapy (Taizhou), Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Taizhou, Zhejiang, 317502, China.; Wenling Institute of Big Data and Artificial Intelligence in Medicine, Taizhou, Zhejiang, 317502, China., Ni C; Department of Ultrasound, Hangzhou Traditional Chinese Medicine Hospital, Hangzhou, 310000, China., Zheng Y; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, 310022, China.; Graduate School, The Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, 310014, China., Huang J; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, 310022, China.; Postgraduate Training Base Alliance of Wenzhou Medical University, Hangzhou, Zhejiang, 325035, China., Shen H; XianJu People's Hospital, Zhejiang Southeast Campus of Zhejiang Provincial People's Hospital, Affiliated Xianju's Hospital, Hangzhou Medical College, Xianju, Zhejiang, China., Zhu R; Tongxiang First People's Hospital, Jiao Chang Road 1918, Tongxiang, Zhejiang, 314500, China., Wang VY; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, 310022, China. wangyang@waiim.org.cn.; Research Center of Interventional Medicine and Engineering, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310000, China. wangyang@waiim.org.cn.; Center of Intelligent Diagnosis and Therapy (Taizhou), Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Taizhou, Zhejiang, 317502, China. wangyang@waiim.org.cn.; Wenling Institute of Big Data and Artificial Intelligence in Medicine, Taizhou, Zhejiang, 317502, China. wangyang@waiim.org.cn., Xu D; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, 310022, China. xudong@zjcc.org.cn.; Research Center of Interventional Medicine and Engineering, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310000, China. xudong@zjcc.org.cn.; Wenling Institute of Big Data and Artificial Intelligence in Medicine, Taizhou, Zhejiang, 317502, China. xudong@zjcc.org.cn.; Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China. xudong@zjcc.org.cn. |
| Source: | Cancer imaging : the official publication of the International Cancer Imaging Society [Cancer Imaging] 2025 Nov 10; Vol. 25 (1), pp. 128. Date of Electronic Publication: 2025 Nov 10. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Nature Country of Publication: England NLM ID: 101172931 Publication Model: Electronic Cited Medium: Internet ISSN: 1470-7330 (Electronic) Linking ISSN: 14707330 NLM ISO Abbreviation: Cancer Imaging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1470-7330 |
|---|---|
| DOI: | 10.1186/s40644-025-00944-3 |
