Communications Medicine (Aug 2022)

A user-friendly tool for cloud-based whole slide image segmentation with examples from renal histopathology

  • Brendon Lutnick,
  • David Manthey,
  • Jan U. Becker,
  • Brandon Ginley,
  • Katharina Moos,
  • Jonathan E. Zuckerman,
  • Luis Rodrigues,
  • Alexander J. Gallan,
  • Laura Barisoni,
  • Charles E. Alpers,
  • Xiaoxin X. Wang,
  • Komuraiah Myakala,
  • Bryce A. Jones,
  • Moshe Levi,
  • Jeffrey B. Kopp,
  • Teruhiko Yoshida,
  • Jarcy Zee,
  • Seung Seok Han,
  • Sanjay Jain,
  • Avi Z. Rosenberg,
  • Kuang Yu. Jen,
  • Pinaki Sarder,
  • the Kidney Precision Medicine Project

DOI
https://doi.org/10.1038/s43856-022-00138-z
Journal volume & issue
Vol. 2, no. 1
pp. 1 – 15

Abstract

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Lutnick et al. develop a cloud-based deep learning tool for whole slide image segmentation. The authors provide several examples of its application in renal pathology, for segmenting glomeruli, interstitial fibrosis and other features of interest.