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Continuous measurement of breast tumour hormone receptor expression: a comparison of two computational pathology platforms.

Thomas Patrick AhernAndrew H BeckBernard A RosnerBen GlassGretchen FrielingLaura C CollinsRulla M Tamimi
Published in: Journal of clinical pathology (2016)
Paired hormone receptor expression measurements from two different computational pathology platforms agreed well with one another. The user-supervised workflow yielded better classification accuracy than the automated workflow. Appropriately validated computational pathology algorithms enrich molecular epidemiology studies with continuous protein expression data and may accelerate tumour biomarker discovery.
Keyphrases
  • machine learning
  • poor prognosis
  • deep learning
  • electronic health record
  • big data
  • high throughput
  • artificial intelligence
  • data analysis