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Deep learning using contrast-enhanced ultrasound images to predict the nuclear grade of clear cell renal cell carcinoma

  • 【作者】Yun Bai,Zi-Chen An,Fan Li,Lian-Fang Du,Tian-Wu Xie,Xi-Peng Zhang,Ying-Yu Cai
  • 【刊名】World Journal of Urology
  • 【作者单位】1Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 85/86 Wujin Road, 200080, Shanghai, China;2Institute of Radiation Medicine, Fudan University, No. 2094 Xietu Road, 200032, Shanghai, China;3School of Computer Science and Technology, Taiyuan Normal University, No. 319 Daxue Street, 030619, Taiyuan, China
  • 【年份】2024
  • 【卷号】Vol.42 No.1
  • 【关键词】Kidney neoplasms Artificial intelligence Deep learning Nuclear grade Classification Contrast-enhanced ultrasound 
  • 【摘要】 Purpose To assess the effectiveness of a deep learning model using contrastenhanced ultrasound images in distinguishing between low-grade and high-grade clear cell renal cell carcinoma . Methods A retrospective study was conducted using CEUS im...
  • 【文献类型】 期刊
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