Practical machine learning for disease diagnosis

Research output: Contribution to journalComment/debatepeer-review


Deep learning neural networks are a powerful tool in the analytical toolbox of modern microscopy, but they come with an exacting requirement for accurately annotated, ground truth cell images. Otesteanu et al. (2021) elegantly streamline this process, implementing network training by using patient-level rather than cell-level disease classification.

Original languageEnglish (US)
Article number100103
JournalCell Reports Methods
Issue number6
StatePublished - Oct 25 2021

ASJC Scopus subject areas

  • Biotechnology
  • Biochemistry
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Genetics
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications


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