Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning-Reference-Cited by-同舟云学术

Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning

Published:2021-04-19 Issue:6 Volume:5 Page:522-532
ISSN:2157-846X
Container-title:Nature Biomedical Engineering
language:en
Short-container-title:Nat Biomed Eng

Author:

Qian Xuejun^ORCID,Pei Jing,Zheng Hui,Xie Xinxin,Yan Lin^ORCID,Zhang Hao,Han Chunguang,Gao Xiang,Zhang Hanqi,Zheng Weiwei,Sun Qiang,Lu Lu,Shung K. Kirk

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering,Medicine (miscellaneous),Bioengineering,Biotechnology

Link

http://www.nature.com/articles/s41551-021-00711-2.pdf

Reference52 articles.

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3. Forouzanfar, M. H. et al. Breast and cervical cancer in 187 countries between 1980 and 2010: a systematic analysis. Lancet 378, 1461–1484 (2011).

4. Berg, W. A. et al. Detection of breast cancer with addition of annual screening ultrasound or a single screening MRI to mammography in women with elevated breast cancer risk. J. Am. Med. Assoc. 307, 1394–1404 (2012).

5. Ohuchi, N. et al. Sensitivity and specificity of mammography and adjunctive ultrasonography to screen for breast cancer in the Japan Strategic Anti-cancer Randomized Trial (J-START): a randomised controlled trial. Lancet 387, 341–348 (2016).

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