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Our interpretable machine learning in melanoma was published!

Updated: Aug 30, 2021


  • 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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