Computer-aided recognition of small rounded pneumoconiosis opacities in chest X-rays

This paper discusses an adaptive object growing algorithm for computer-aided recognition of small rounded opacities in coal workers' chest X-rays as a means of early detection of pneumoconiosis. An object of suspected opacity is detected by the algorithm on the basis of maximizing an isolation contrast integral. It is then classified according to two contrast and geometric parameters.