Huang Rongzhong, Jiang Lihong, Xu Yu, et al. Comparative Diagnostic Accuracy of Contrast-Enhanced Ultrasound and Shear Wave Elastography in Differentiating Benign and Malignant Lesions: A Network Meta-Analysis. [J]. Frontiers in Oncology, 2019, 9:102.
 Lam K Y. Pathology of Endocrine Tumors Update: World Health Organization New Classification 2017—Other Thyroid Tumors[J]. AJSP: Reviews & Reports, 2017, 22.
 Janovitz Tyler, Barletta Justine A. Clinically Relevant Prognostic Parameters in Differentiated Thyroid Carcinoma. [J]. Endocrine Pathology, 2018, 29(4):357-364.
 Rodis D. Paparodis, Dimitra Bantouna, Shahnawaz Imam, et al. The non-interventional approach to papillary thyroid microcarcinomas. An “active surveillance” dilemma[J]. Surgical Oncology, 2019, 29:113-117.
 Ohkuwa Keiko, Sugino Kiminori, Nagahama Mitsuji, et al. Risk stratification in differentiated thyroid cancer with RAI-avid lung metastases. [J]. Endocrine Connections, 2021.
 Haugen B R, Alexander E K, Bible K C, et al. 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer. [J]. Thyroid Official Journal of the American Thyroid Association, 2015:2165.
 Lam A K Y, MD, FRCPA, et al. Diffuse Sclerosing Variant of Papillary Carcinoma of the Thyroid: A 35-Year Comparative Study at a Single Institution[J]. Annals of Surgical Oncology, 2006, 13(2):176-181.
 Luzeng Chen, Lei Chen, Jinghua Liu, et al. The Association Among Quantitative Contrast-Enhanced Ultrasonography Features, Thyroid Imaging Reporting and Data System and BRAF V600E Mutation Status in Patients with Papillary Thyroid Microcarcinoma. [J]. Ultrasound quarterly, 2018.
 Haugen BR: 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: What is new and what has changed Cancer 2017, 123(3):372-381.
 Liang J, Huang X, Hu H, Liu Y, Zhou Q, Cao Q, Wang W, Liu B, Zheng Y, Li X et al: Predicting Malignancy in Thyroid Nodules: Radiomics Score Versus 2017 American College of Radiology Thyroid Imaging, Reporting and Data System. Thyroid: official journal of the American Thyroid Association 2018, 28(8):1024-1033.
 Huynh B Q, Li H, Giger M L. Digital mammographic tumor classification using transfer learning from deep convolutional neural networks[J]. Journal of Medical Imaging, 2016, 3(3):034501.
 Griethuysen J, Fedorov A, Parmar C, et al. Computational Radiomics System to Decode the Radiographic Phenotype[J]. Cancer Research, 2017, 77(21): e104-e107.
 Kazaure H S, Roman S A, Sosa J A. Aggressive Variants of Papillary Thyroid Cancer: Incidence, Characteristics and Predictors of Survival among 43,738 Patients[J]. Annals of Surgical Oncology, 2012, 19(6):1874-1880.
 Hu M J, He J L, Tong X R, et al. Associations between essential microelements exposure and the aggressive clinicopathologic characteristics of papillary thyroid cancer[J]. BioMetals, 2021, 34(4):909-921.
 Lee D H, Kang W J, Seo H S, et al. Detection of metastatic cervical lymph nodes in recurrent papillary thyroid carcinoma: computed tomography versus positron emission tomography-computed tomography. [J]. J Comput Assist Tomogr, 2009, 33.
 Sakai O, Curtin H D, Romo L V, et al. LYMPH NODE PATHOLOGY: BENIGN PROLIFERATIVE, LYMPHOMA, AND METASTATIC DISEASE[J]. Radiologic Clinics of North America, 2000, 38(5):979-998.
 Ma S, Xie H, Wang H, Yang J, Han C, Wang X, Zhang X: Preoperative Prediction of Extracapsular Extension: Radiomics Signature Based on Magnetic Resonance Imaging to Stage Prostate Cancer. Mol Imaging Biol 2020, 22(3):711-721.
 CHEN L，XU J，BAO J，et al. Diffusion-weighted MRI in differentiating malignant from benign thyroid nodules：a meta-analysis［J］.BMJ Open，2016，6（1）：e008413.
 RAZEK A A，Sadek A G，Kombar O R，et al. Role of apparent diffusion coefficient values in differentiation between malignant and benign solitary thyroid nodules［J］. Am J Neuroradiol，2008,29（3）：563-568.
 Guoqing Wu, Yuanyuan Wang, Jinhua Yu. A Sparse Representation-based Radiomics for Outcome Prediction of Higher-Grade Gliomas. Medical physic. 2019, 46(1):250-261.
 Guoqing Wu, Yinsheng Chen, Yuanyuan Wang, Jinhua Yu et al. Sparse representation-based radiomics for the diagnosis of brain tumors. IEEE Trans on Medical Imaging. 2018, PP 37(4):893-905.
 Zhang H, Hung CL, Min G, Guo JP, Liu M, Hu X: GPU-Accelerated GLRLM Algorithm for Feature Extraction of MRI. Sci Rep 2019, 9(1):10883.
 Arebey M, Hannan MA, Begum RA, Basri H: Solid waste bin level detection using gray level co-occurrence matrix feature extraction approach. Journal of Environmental Management 2012, 104:9-18.
 Lu Y, Moreira A L, Hatzoglou V, et al. Using diffusion-weighted MRI to predict aggressive histological features in papillary thyroid carcinoma: a novel tool for pre-operative risk stratification in thyroid cancer. [J]. Thyroid, 2015, 25(6):672-680.
 Hu S, Zhang H, X Wang, et al. Can Diffusion-Weighted MR Imaging Be Used as a Tool to Predict Extrathyroidal Extension in Papillary Thyroid Carcinoma [J]. Academic Radiology, 2020.