Practical machine learning for disease diagnosis

Research output: Contribution to journalComment/debatepeer-review

Abstract

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
Volume1
Issue number6
DOIs
StatePublished - Oct 25 2021

ASJC Scopus subject areas

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

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