Machine Learning–Based Ultrasound Radiomics for Evaluating the Function of Transplanted Kidneys

Author:

Zhu Lili,Huang Renjun,Li Ming,Fan Qingmin,Zhao Xiaojun,Wu Xiaofeng,Dong Fenglin

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics,Radiology, Nuclear Medicine and imaging,Biophysics,Radiological and Ultrasound Technology

Reference32 articles.

1. Assessment of kidney function after allograft transplantation by texture analysis;Abbasian Ardakani;Iran J Kidney Dis,2017

2. Correlation between kidney function and sonographic texture features after allograft transplantation with corresponding to serum creatinine: A long term follow-up study;Abbasian Ardakani;J Biomed Phys Eng,2020

3. Recent advances in medical image processing for the evaluation of chronic kidney disease;Alnazer;Med Image Anal,2021

4. Glomerular size in early protocol biopsies is associated with graft outcome;Azevedo;Am J Transplant,2005

5. Renal function decline in recipients and donors of kidney grafts: Role of aortic stiffness;Bahous;Am J Nephrol,2015

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