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Our interpretable machine learning in melanoma was published!

  • assafzar
  • Jun 1, 2021
  • 1 min read

Updated: Aug 30, 2021

Highlights:

  • Generative deep network encoded latent representation of live-imaged melanoma cells

  • Supervised machine-learning classified metastatic efficiency using latent cell representations

  • Validated classifier prediction on melanoma cell lines in mouse xenografts

  • Interpreted metastasis-driving features in amplified generative cell image models


Press release and popular news: here (UTSW), here, here, here, here, and here.


And the paper was featured on the cover!













 
 
 

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

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