Study on diagnosis of thyroid nodules based on convolutional neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging
Link
https://link.springer.com/content/pdf/10.1007/s00117-023-01137-4.pdf
Reference26 articles.
1. Kim TY, Shong YK (2017) Active surveillance of papillary thyroid microcarcinoma: a mini-review from Korea. Endocrinol Metab 32(4):399–406
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3. Zhang Y, Zhou P, Tian SM et al (2017) Usefulness of combined use of contrast-enhanced ultrasound and TI-RADS classification for the differe ntiation of benign from malignant lesions of thyroid nodules. Eur Radiol 27(4):1527–1536
4. Mciver B, Hay ID, Giuffrida DF et al (2001) Anaplastic thyroid carcinoma: a 50-year experience at a single institution. Surgery 130(6):1028–1034
5. Liang XW, Cai YY, Yu JS et al (2019) Update on thyroid ultrasound: a narrative review from diagnostic criteria to artificial intelligence techniques. Chin Med J 132(16):1974–1982
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