Deep learning of symmetrical discrepancies for computer-aided detection of mammographic masses

T. Kooi and N. Karssemeijer

Medical Imaging 2017;10133:101341J.

DOI Cited by ~7

When humans identify objects in images, context is an important cue; a cheetah is more likely to be a domestic cat

when a television set is recognised in the background. Similar principles apply to the analysis of medical images.

The detection of diseases that manifest unilaterally in symmetrical organs or organ pairs can in part be facilitated

by a search for symmetrical discrepancies in or between the organs in question. During a mammographic exam