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Artificial Intelligence-Assisted Renal Pathology: Advances and Prospects

Yiqin Wang1,2, Qiong Wen1,2, Luhua Jin1,2

  • 1Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.

Journal of Clinical Medicine
|August 26, 2022
PubMed

Keywords:
artificial intelligencedigital imagingimage interpretationkidney diseasesmachine learningrenal pathology

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