While some of the characteristics of medical pathologies or industrial defects in images are subject to classification, many aspects of these abnormalities do not lend themselves to precise programmable characterizations. Neural networks have been useful in recognizing patterns in a number of applications involving multiple variables whose precise interactions are not well-understood or quantifiable. In order to aid the medical imaging personnel, industrial troubleshooters and others in locating potential anomalies in an image, this invention employs neural network analysis to help identify regions of suspected anomalies. <IMAGE>
Application of neural networks as an aid in medical diagnosis and general anomaly detection.