Open AccessScreening Mammography: Test Set Data Can Reasonably Describe Actual Clinical Reporting
Author(s) -
BaoLin Pauline Soh,
Warwick Lee,
Mark F. McEntee,
Peter Kench,
Warren Reed,
Rob Heard,
Dev P. Chakraborty,
Patrick C. Brennan
Publication year - 2013
Publication title -
radiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.118
H-Index - 295
eISSN - 1527-1315
pISSN - 0033-8419
DOI - 10.1148/radiol.13122399
Subject(s) - medicine , mammography , test (biology) , medical physics , screening mammography , set (abstract data type) , data set , reading (process) , artificial intelligence , breast cancer , linguistics , cancer , paleontology , computer science , biology , philosophy , programming language
To establish the extent to which test set reading can represent actual clinical reporting in screening mammography.