Fast-learning neural classifier for chest radiograph

To reduce inter- and intra-reader variability in diagnosing chest radiographs, a neural network-based system was developed and tested. The results of an experiment with 65 digitized chest radiographs, demonstrated high degree of sensitivity and specificity in classifying these X-rays. The use of a computer-assisted chest radiograph reader eliminated the inconsistencies in the human readers.