Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma.

Abstract

Authors

• Zhichao Feng
  Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, China.
• Pengfei Rong
  Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, China.
• Peng Cao
  Medical Image Computing Laboratory of Ministry of Education, Northeastern University, 110819, Shenyang, China.
• Qingyu Zhou
  Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, China.
• Wenwei Zhu
  Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, China.
• Zhimin Yan
  Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, China.
• Qianyun Liu
  Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, China.
• Wei Wang
  State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.

Keywords

External Resources