Machine learning-based multimodal mri texture analysis for assessing renal function and brosis in diabetic nephropathy: a retrospective study

HIGHLIGHTS

• who: April et al. from the Mansoura University, Egypt Xiamen University, China have published the article: Machine learning-based multimodal MRI texture analysis for assessing renal function and brosis in diabetic nephropathy: a retrospective study, in the Journal: (JOURNAL)
• what: The authors aimed to determine the possible practicability of machine_learning (ML)-based multimodal MRI texture analysis (mMRI-TA) for assessing renal function in DN. To identify normal-RF, non-sRI, and sRI the study showed that the mMRI-TA model derived from T2WI and measured DWI and BOLD values was able to identify non-sRI . . .
  

   

  

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