APA (7th ed.) Citation

Feng, Z., Rong, P., Cao, P., Zhou, Q., Zhu, W., Yan, Z., . . . Wang, W. (2018). Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma. European radiology, 28(4), 1625-1633. https://doi.org/10.1007/s00330-017-5118-z

Chicago Style (17th ed.) Citation

Feng, Zhichao, Pengfei Rong, Peng Cao, Qingyu Zhou, Wenwei Zhu, Zhimin Yan, Qianyun Liu, and Wei Wang. "Machine Learning-based Quantitative Texture Analysis of CT Images of Small Renal Masses: Differentiation of Angiomyolipoma Without Visible Fat from Renal Cell Carcinoma." European Radiology 28, no. 4 (2018): 1625-1633. https://doi.org/10.1007/s00330-017-5118-z.

MLA (9th ed.) Citation

Feng, Zhichao, et al. "Machine Learning-based Quantitative Texture Analysis of CT Images of Small Renal Masses: Differentiation of Angiomyolipoma Without Visible Fat from Renal Cell Carcinoma." European Radiology, vol. 28, no. 4, 2018, pp. 1625-1633, https://doi.org/10.1007/s00330-017-5118-z.