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Development of an automated estimation of foot process width using deep learning in kidney biopsies from patients with Fabry, minimal change, and diabetic kidney diseases

David Smerkous, Michael Mauer, Camilla Tøndel, Einar Svarstad, Marie-Claire Gübler, Robert G. Nelson, João Paulo Oliveira, Forough Sargolzaeiaval, Behzad Najafian

2023Kidney International19 citationsDOIOpen Access PDF

Topics & Concepts

Deep learningArtificial intelligenceComputer sciencePodocyteSegmentationPattern recognition (psychology)Kidney diseaseAutoencoderMachine learningMedicineKidneyInternal medicineProteinuriaLymphatic System and DiseasesHealth Systems, Economic Evaluations, Quality of Life
Development of an automated estimation of foot process width using deep learning in kidney biopsies from patients with Fabry, minimal change, and diabetic kidney diseases | Litcius