A neurodatabase system for mammographic screening
Jack Sklansky, E.Y. Tao, Chester J. Ornes, Anthony C. Disher · 2002
A novel integration of a neural network and a mammographic database provides a promising means of amplifying the radiologist's power to screen mammograms. The principal novelty of this system is a neural network that produces both a classifier and a 2D relational map of the mammograms in a diagnostically proven database. We therefore refer to this as a neurodatabase system. Radiologists interacting with a neurodatabase system can achieve significant reductions in the number of benign biopsies and the number of missed cancers. The specificity of the computer-aided radiologist can exceed those of both the unaided radiologist and the computer system alone.