Differentiation of renal angiomyolipoma without visible fat from renal cell carcinoma by machine learning based on whole-tumor computed tomography texture features.

MLA

Cui, En-Ming, et al. “Differentiation of Renal Angiomyolipoma without Visible Fat from Renal Cell Carcinoma by Machine Learning Based on Whole-Tumor Computed Tomography Texture Features.” Acta Radiologica, vol. 60, no. 11, Nov. 2019, pp. 1543–52. EBSCOhost, https://doi.org/10.1177/0284185119830282.

APA

Cui, E.-M., Lin, F., Li, Q., Li, R.-G., Chen, X.-M., Liu, Z.-S., & Long, W.-S. (2019). Differentiation of renal angiomyolipoma without visible fat from renal cell carcinoma by machine learning based on whole-tumor computed tomography texture features. Acta Radiologica, 60(11), 1543–1552. https://doi.org/10.1177/0284185119830282

Chicago

Cui, En-Ming, Fan Lin, Qing Li, Rong-Gang Li, Xiang-Meng Chen, Zhuang-Sheng Liu, and Wan-Sheng Long. 2019. “Differentiation of Renal Angiomyolipoma without Visible Fat from Renal Cell Carcinoma by Machine Learning Based on Whole-Tumor Computed Tomography Texture Features.” Acta Radiologica 60 (11): 1543–52. doi:10.1177/0284185119830282.