Improving the Efficacy of ACR TI-RADS Through Deep Learning-Based Descriptor Augmentation
Author:
Funder
Koios Medical
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
https://link.springer.com/content/pdf/10.1007/s10278-023-00884-z.pdf
Reference24 articles.
1. Li, M., Maso, L. D., & Vaccarella, S. (2020). Global trends in thyroid cancer incidence and the impact of overdiagnosis. The Lancet Diabetes & Endocrinology, 8(6), 468–470. https://doi.org/10.1016/S2213-8587(20)30115-7
2. Roman, B. R., Morris, L. G., & Davies, L. (2017). The thyroid cancer epidemic, 2017 Perspective. Current Opinion in Endocrinology, Diabetes, and Obesity, 24(5), 332–336. https://doi.org/10.1097/MED.0000000000000359
3. Olson, E., Wintheiser, G., Wolfe, K. M., Droessler, J., & Silberstein, P. T. (2019). Epidemiology of thyroid cancer: a review of the National Cancer Database, 2000–2013. Cureus, 11(2), e4127. https://doi.org/10.7759/cureus.4127
4. Jegerlehner, S., Bulliard, J.-L., Aujesky, D., Rodondi, N., Germann, S., Konzelmann, I., Chiolero, A., & Group, N. W. (2017). Overdiagnosis and overtreatment of thyroid cancer: a population-based temporal trend study. PLOS ONE, 12(6), e0179387. https://doi.org/10.1371/journal.pone.0179387
5. Davies, L., & Welch, H. G. (2006). Increasing incidence of thyroid cancer in the United States, 1973–2002. JAMA. 2006;295(18):2164–2167. https://doi.org/10.1001/jama.295.18.2164
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