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How Whole Slide Imaging and Machine Learning Can Partner with Renal Pathology

Parker C Wilson1, Nidia Messias

  • 1Division of Anatomic and Molecular Pathology, Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, Missouri.

Kidney360
|May 18, 2022
PubMed
Summary

No abstract available in PubMed .

Keywords:
basic sciencedigital image analysisglomerular and tubulointerstitial diseasesmachine learningmembranous nephropathyminimal change diseaserenal pathologythin basement membrane diseasewhole slide imaging

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