Automatic Classification of Mass Shape and Margin on Mammography with Artificial Intelligence: Deep CNN Versus Radiomics
Author:
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/s10278-023-00798-w.pdf
Reference20 articles.
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3. Kim, Saejoon. Margin-maximised redundancy-minimised SVM-RFE for diagnostic classification of mammograms. International Journal of Data Mining & Bioinformatics, 2014,10(4):374-390.
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5. Tang A, Tam R, Cadrin-Chênevert A, et al. Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology. Canadian Association of Radiologists Journal, 2018,69(2):120-135..
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