Deep learning based on ultrasound to differentiate pathologically proven atypical and typical medullary thyroid carcinoma from follicular thyroid adenoma-Reference-Cited by-同舟云学术

Deep learning based on ultrasound to differentiate pathologically proven atypical and typical medullary thyroid carcinoma from follicular thyroid adenoma

Published:2022-11 Issue: Volume:156 Page:110547
ISSN:0720-048X
Container-title:European Journal of Radiology
language:en
Short-container-title:European Journal of Radiology

Author:

Zhang Rui,Yi Guanxiu,Pu Shunfan,Wang Qin,Sun Chao,Wang Qian,Feng Li,Liu Xiabi,Li Zhengjiang,Niu Lijuan

Funder

National Natural Science Foundation of China

Chinese Academy of Medical Sciences

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference20 articles.

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3. Risk Factors Associated With Reoperation and Disease-Specific Mortality in Patients With Medullary Thyroid Carcinoma;Kuo;JAMA Surg.,2018

4. American Thyroid Association Guidelines Task Force on Medullary Thyroid, Revised American Thyroid Association guidelines for the management of medullary thyroid carcinoma;Wells;Thyroid,2015

5. Ultrasound features of medullary thyroid carcinoma correlate with cancer aggressiveness: a retrospective multicenter study;Trimboli;J. Experim. Clin. Cancer Res.,2014

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