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