Review of Value of CT Texture Analysis and Machine Learning in Differentiating Fat-Poor Renal Angiomyolipoma from Renal Cell Carcinoma
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Zhang, Y.; Li, X.; Lv, Y.; Gu, X. Review of Value of CT Texture Analysis and Machine Learning in Differentiating Fat-Poor Renal Angiomyolipoma from Renal Cell Carcinoma. Tomography 2020, 6, 325-332. https://doi.org/10.18383/j.tom.2020.00039
Zhang Y, Li X, Lv Y, Gu X. Review of Value of CT Texture Analysis and Machine Learning in Differentiating Fat-Poor Renal Angiomyolipoma from Renal Cell Carcinoma. Tomography. 2020; 6(4):325-332. https://doi.org/10.18383/j.tom.2020.00039
Chicago/Turabian StyleZhang, Yuhan, Xu Li, Yang Lv, and Xinquan Gu. 2020. "Review of Value of CT Texture Analysis and Machine Learning in Differentiating Fat-Poor Renal Angiomyolipoma from Renal Cell Carcinoma" Tomography 6, no. 4: 325-332. https://doi.org/10.18383/j.tom.2020.00039
APA StyleZhang, Y., Li, X., Lv, Y., & Gu, X. (2020). Review of Value of CT Texture Analysis and Machine Learning in Differentiating Fat-Poor Renal Angiomyolipoma from Renal Cell Carcinoma. Tomography, 6(4), 325-332. https://doi.org/10.18383/j.tom.2020.00039