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

Abstract

Authors

• Riku Turkki
  Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland. riku.turkki@helsinki.fi.
• Dmitrii Byckhov
  Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
• Mikael Lundin
  Institute for Molecular Medicine Finland, HILIFE, University of Helsinki, Helsinki, Finland.
• Jorma Isola
  Department of Cancer Biology, BioMediTech, University of Tampere, Tampere, Finland.
• Stig Nordling
  Department of Pathology, Medicum, University of Helsinki, Helsinki, Finland.
• Panu E Kovanen
  HUSLAB and Medicum, Helsinki University Hospital Cancer Center and University of Helsinki, Helsinki, Finland.
• Clare Verrill
  Department of Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK; Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK. Electronic address: Clare.Verrill@ouh.nhs.uk.
• Karl von Smitten
  Eira Hospital, Helsinki, Finland.
• Heikki Joensuu
  Department of Oncology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
• Johan Lundin
  Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
• Nina Linder
  Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.

Keywords

External Resources