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A neurodatabase system for mammographic screening

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4 Author(s)
J. Sklansky ; King-Drew Med. Center, Los Angeles, CA, USA ; E. Y. Tao ; C. Ornes ; A. C. Disher

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

Published in:

Computer-Based Medical Systems, 1998. Proceedings. 11th IEEE Symposium on

Date of Conference:

12-14 Jun 1998