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Deep learning automation of MEST-C classification in IgA nephropathy.

Adrien JaugeyElise MaréchalGeorges TarrisMichel PaindavoineLaurent MartinMelchior ChabannesMathilde Funes de la VegaMélanie ChaintreuilColine RobierDidier DuclouxThomas CrépinSophie FelixAmélie JacqDoris CalmoClaire TinelGilbert ZanettaJean-Michel RebibouMathieu Legendre
Published in: Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association (2023)
This work highlights the possibility of automated recognition and quantification of each element of the MEST-C classification using Deep Learning methods.
Keyphrases
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • high throughput