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Visual interpretability of image-based classification models preprint @bioRxiv!

  • assafzar
  • Nov 21, 2023
  • 1 min read

We present DISentangled COunterfactual Visual interpretER (DISCOVER), a generalized method toward systematic visual interpretability of image-based classification models, and demonstrate applications for interpreting classification of in-vitro fertilization (IVF) embryo morphology quality.


Project led by Oded Rotem, in collaboration with AIVF Ltd.













 
 
 

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 Assaf Zaritsky lab of computational cell dynamics, applying data science to microscopy cell images since 2018

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