1. Park SH, Han K. Methodologic guide for evaluating clinical performance and effect of artificial intelligence technology for medical diagnosis and prediction. Radiol Soc N Am. 2018;286(3):800–9.
2. Breast Cancer: Statistics. Approved by the Cancer.Net Editorial Board. [Online]. Available: http://www.cancer.net/cancer-types/breast-cancer/statistics. 2017. Accessed 26 Aug 2018.
3. Azar AT, El-Said SA. Probabilistic neural network for breast cancer classification. Neural Comput Appl. 2013;23(6):1737–51.
4. Nagashima T, Suzuki M, Yagata H, Hashimoto H, Shishikura T, Imanaka N, Miyazaki M. Dynamic-enhanced MRI predicts metastatic potential of invasive ductal breast cancer. Springer. 2002;9(3):226–30.
5. Park CS, Kim SH, Jung NY, Choi JJ, Kang BJ, Jung HS. Interobserver variability of ultrasound elastography and the ultrasound BI-RADS lexicon of breast lesions. Springer. 2013;22(2):153–60.