CAD method, computer and storage medium for automated detection

Details CAD method, computer and storage medium for automated detection CAD method, computer and storage medium for automated detection

1995-11-22

2000-10-31

Chang, Jon

Image analysis

Applications

Biomedical applications

382132, 382172, 382203, 128922, 128925, G06K 980

Patent

active

061414379

ABSTRACT:
A computer-aided diagnosis (CAD) method for the automated detection of lung nodules in a digital chest image, a computer programmed to implement the method, and a storage medium which stores a program for implementing the method, wherein nodule candidates are first automatically selected by thresholding the difference image and then classified in six groups. A large number of false positives are eliminated by adaptive rule-based tests applied to the original chest image and in the difference image and an artificial neural network (ANN) applied to remaining candidate nodule locations in the original chest image. Using two hundred PA chest radiographs, 100 normal and 100 abnormal, as the database, the presence of nodules in the 100 abnormal cases was confirmed by two experienced radiologists on the basis of CT scans or radiographic follow-up. The CAD method achieves, on average, the sensitivity of 70% at 1.7 false positives per chest image.

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Wu et al. "Reduction of False Positives in Computerized Detection of Lung Nodules in Chest Radiographs Using Artificial Neural Networks, Discriminant Analysis, and a Rule-Based Scheme." Journal of Digital Imaging, vol. 7, No. 4, pp. 196-207, Nov. 1994.

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