Deep learning-based histopathologic segmentation of peritubular capillaries in kidney transplant biopsies

This publication has 33 references indexed in Scilit:

• The Banff 2022 Kidney Meeting Report: Reappraisal of microvascular inflammation and the role of biopsy-based transcript diagnostics
  American Journal of Transplantation, 2023
• Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning
  Laboratory Investigation, 2021
• Digital pathology and computational image analysis in nephropathology
  Nature Reviews Nephrology, 2020
• Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains
  Kidney International, 2020
• Endothelium structure and function in kidney health and disease
  Nature Reviews Nephrology, 2019
• Peritubular capillaries: an important piece of the puzzle
  Kidney International, 2017
• Regardless of etiology, progressive renal disease causes ultrastructural and functional alterations of peritubular capillaries
  Kidney International, 2017
• Peritubular capillaritis in the renal allograft takes center stage
  Kidney International, 2015
• The diffuse extent of peritubular capillaritis in renal allograft rejection is an independent risk factor for graft loss
  Kidney International, 2015
• Peritubular capillary rarefaction: a new therapeutic target in chronic kidney disease
  Pediatric Nephrology, 2013