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MRI texture-based machine learning models for the evaluation of renal function on different segmentations: a proof-of-concept study.

Xiaokai MoWenbo ChenSimin ChenZhuozhi ChenYuanshu GuoYulian ChenXuewei WuLu ZhangQiuying ChenZhe JinMinmin LiLuyan ChenJingjing YouZhiyuan XiongBin ZhangShuixing Zhang
Published in: Insights into imaging (2023)
We developed and internally validated an MRI-based machine-learning model that can accurately evaluate renal function. Once externally validated, this model has the potential to facilitate the monitoring of patients with impaired renal function.
Keyphrases
  • machine learning
  • contrast enhanced
  • magnetic resonance imaging
  • artificial intelligence
  • diffusion weighted imaging
  • big data
  • computed tomography
  • magnetic resonance