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Breast cancer outcome prediction with tumour tissue images and machine learning.

Riku TurkkiDmitrii ByckhovMikael LundinJorma IsolaStig NordlingPanu E KovanenClare VerrillKarl von SmittenHeikki JoensuuJohan LundinNina Linder
Published in: Breast cancer research and treatment (2019)
Our findings demonstrate the feasibility of learning prognostic signals in tumour tissue images without domain knowledge. Although further validation is needed, our study suggests that machine learning algorithms can extract prognostically relevant information from tumour histology complementing the currently used prognostic factors in breast cancer.
Keyphrases
  • machine learning
  • prognostic factors
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • big data
  • optical coherence tomography
  • healthcare
  • oxidative stress
  • health information
  • anti inflammatory