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2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS.
Zhou J, Yin L, Wei X, Zhang S, Song Y, Luo B, Li J, Qian L, Cui L, Chen W, Wen C, Peng Y, Chen Q, Lu M, Chen M, Wu R, Zhou W, Xue E, Li Y, Yang L, Mi C, Zhang R, Wu G, Du G, Huang D, Zhan W; Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association; Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound. Zhou J, et al. Among authors: li y, li j. Endocrine. 2020 Nov;70(2):256-279. doi: 10.1007/s12020-020-02441-y. Epub 2020 Aug 21. Endocrine. 2020. PMID: 32827126
Thyroid imaging reporting and data system (TIRADS) for ultrasound features of nodules: multicentric retrospective study in China.
Zhou J, Song Y, Zhan W, Wei X, Zhang S, Zhang R, Gu Y, Chen X, Shi L, Luo X, Yang L, Li Q, Bai B, Ye X, Zhai H, Zhang H, Jia X, Dong Y, Zhang J, Yang Z, Zhang H, Zheng Y, Xu W, Lai L, Yin L; Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of Chinese Medical Association; Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound. Zhou J, et al. Among authors: li q. Endocrine. 2021 Apr;72(1):157-170. doi: 10.1007/s12020-020-02442-x. Epub 2020 Aug 27. Endocrine. 2021. PMID: 32852733
Federated learning via multi-attention guided UNet for thyroid nodule segmentation of ultrasound images.
Xiang Z, Tian X, Liu Y, Chen M, Zhao C, Tang LN, Xue ES, Zhou Q, Shen B, Li F, Chen Q, Xue HY, Tang Q, Li YJ, Liang L, Wang B, Li QS, Wu CJ, Ren TT, Wu JY, Wang T, Liu WY, Yan K, Liu BJ, Sun LP, Zhao CK, Xu HX, Lei B. Xiang Z, et al. Among authors: li f, li yj, li qs. Neural Netw. 2024 Sep 22;181:106754. doi: 10.1016/j.neunet.2024.106754. Online ahead of print. Neural Netw. 2024. PMID: 39362185
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