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Iterative unsupervised domain adaptation for generalized cell detection from brightfield z-stacks.

Kaisa LiimatainenLauri KananenLeena LatonenPekka Ruusuvuori
Published in: BMC bioinformatics (2019)
With our method for generalized cell detection, we can train a model that accurately detects different cell lines from brightfield images. A new cell line can be introduced to the model without a single manual annotation, and after iterative domain adaptation the model is ready to detect these cells with high accuracy.
Keyphrases
  • single cell
  • cell therapy
  • machine learning
  • deep learning
  • rna seq
  • cell cycle arrest
  • real time pcr
  • oxidative stress
  • magnetic resonance
  • computed tomography
  • cell death
  • bone marrow
  • pi k akt