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Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning.

Korsuk SirinukunwattanaEnric DomingoSusan D RichmanKeara L RedmondAndrew BlakeClare VerrillSimon J LeedhamAikaterini ChatzipliClaire HardyCelina M WhalleyChieh-Hsi WuAndrew D BeggsUltan McDermottPhilip D DunneAngela MeadeSteven M WalkerGraeme I MurrayLeslie SamuelMatthew SeymourIan P M TomlinsonPhil QuirkeTimothy S MaughanJens RittscherViktor Hendrik Koelzernull null
Published in: Gut (2020)
This study shows that a prediction of RNA expression classifiers can be made from H&E images, opening the door to simple, cheap and reliable biological stratification within routine workflows.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • machine learning
  • clinical practice
  • poor prognosis
  • optical coherence tomography
  • long non coding rna
  • nucleic acid