Copyright
©The Author(s) 2019.
World J Radiol. Feb 28, 2019; 11(2): 19-26
Published online Feb 28, 2019. doi: 10.4329/wjr.v11.i2.19
Published online Feb 28, 2019. doi: 10.4329/wjr.v11.i2.19
Figure 3 S-detect technique in the Samsung RS80A ultrasound system.
A and B: In a 47-year-old woman with left invasive breast cancer on B-mode ultrasound (A), S-detect correctly concluded that it is “Possibly Malignant” based on the lesion features listed on the right column (B); C and D: In a 55-year-old woman with fibroadenoma of left breast on B-mode ultrasound (C), S-detect correctly concluded that it is “Possibly Benign” based on the lesion features listed on the right column (D).
- Citation: Wu GG, Zhou LQ, Xu JW, Wang JY, Wei Q, Deng YB, Cui XW, Dietrich CF. Artificial intelligence in breast ultrasound. World J Radiol 2019; 11(2): 19-26
- URL: https://www.wjgnet.com/1949-8470/full/v11/i2/19.htm
- DOI: https://dx.doi.org/10.4329/wjr.v11.i2.19