Login / Signup

Measurement challenge: protocol for international case-control comparison of mammographic measures that predict breast cancer risk.

Evenda DenchDaniela Bond-SmithEllie DarceyGrant LeeYe K AungAriane ChanJack M CuzickZe Y DingChris F EvansJennifer HarveyRalph HighnamMeng-Kang HsiehDespina KontosShuai LiShivaani MariapunCarolyn NicksonTuong Linh NguyenSaid PertuzPietro ProcopioNadia RajaramKathy RepichMaxine TanSoo-Hwang TeoNhut Ho TrinhGiske UrsinChao WangIsabel Dos-Santos-SilvaValerie McCormackMads NielsenJohn ShepherdJohn L HopperJennifer Stone
Published in: BMJ open (2019)
Challengers and contributors are required to enter a Research Collaboration Agreement with the University of Melbourne prior to participation in the measurement challenge. The Challenge database of collated data and images are stored in a secure data repository at the University of Melbourne. Ethics approval for the measurement challenge is held at University of Melbourne (HREC ID 0931343.3).
Keyphrases
  • breast cancer risk
  • case control
  • big data
  • electronic health record
  • randomized controlled trial
  • public health
  • physical activity
  • deep learning
  • convolutional neural network
  • emergency department