A neurodatabase system for mammographic screening

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.

[1]  Maryellen L. Giger,et al.  Computer Vision and Decision Support , 1997 .

[2]  Vijay V. Raghavan,et al.  Content-Based Image Retrieval Systems - Guest Editors' Introduction , 1995, Computer.

[3]  J. Sklansky,et al.  A visual multi-expert neural classifier , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

[4]  Jack Sklansky,et al.  A visual neural classifier , 1998, IEEE Trans. Syst. Man Cybern. Part B.

[5]  Jack Sklansky,et al.  A note on genetic algorithms for large-scale feature selection , 1989, Pattern Recognition Letters.

[6]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.