Author:
Chen Hua,Ma Minglun,Liu Gang,Wang Ying,Jin Zhihao,Liu Chong
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference47 articles.
1. Erratum: Global Burden of Disease Cancer Collaboration. Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 29 cancer groups, 1990 to 2017: a systemic analysis, (2020)
2. Stimpfel, M., Virant-Klun, I.: Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. J. Cancer Stem Cell Res. (2016). https://doi.org/10.14343/jcscr.2016.4e1003
3. Qi, X., Zhang, L., Chen, Y., Pi, Y., Chen, Y., Lv, Q., Yi, Z.: Automated diagnosis of breast ultrasonography images using deep neural networks. Med. Image Anal. 52, 185–198 (2019). https://doi.org/10.1016/j.media.2018.12.006
4. Evans, A.: Breast imaging reporting and data systems. The Breast. (1994). https://doi.org/10.1016/0960-9776(94)90019-1
5. Hizukuri, A., Nakayama, R.: Computer-aided diagnosis scheme for determining histological classification of breast lesions on ultrasonographic images using convolutional neural network. Diagnostics. (2018). https://doi.org/10.3390/diagnostics8030048
Cited by
13 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献