Characterizing breast masses using an integrative framework of machine learning and CEUS-based radiomics
Author:
Funder
wright foundation 2016
wright foundation 2019
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine,Internal Medicine
Link
https://link.springer.com/content/pdf/10.1007/s40477-021-00651-2.pdf
Reference31 articles.
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3. Li C, Gong H, Ling L et al (2018) Diagnostic performance of contrast-enhanced ultrasound and enhanced magnetic resonance for breast nodules. J Biomed Res 32:198–207. https://doi.org/10.7555/JBR.32.20180015
4. Zhang J, Cai L, Chen L et al (2014) CEUS helps to rerate small breast tumors of BI-RADS Category 3 and Category 4. Biomed Res Int. https://doi.org/10.1155/2014/572532
5. Gu L-S, Zhang R, Wang Y et al (2019) Characteristics of contrast-enhanced ultrasonography and strain elastography of locally advanced breast cancer. J Thorac Dis 11:5274–5289. https://doi.org/10.21037/jtd.2019.11.52
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