Review of Value of CT Texture Analysis and Machine Learning in Differentiating Fat-Poor Renal Angiomyolipoma fromRenal Cell Carcinoma

Zhang, YH; Li, X; Lv, Y; Gu, XQ

Gu, XQ (corresponding author), Jilin Univ, Dept Urol, China Japan Union Hosp, 18F,Sect 7,126 Xiantai St, Changchun 130033, Peoples R China.

TOMOGRAPHY, 2020; 6 (4): 325

Abstract

The diagnosis of patients with suspected angiomyolipoma relies on the detection of abundant macroscopic intralesional fat, which is always of no use t......

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