Title :
Computer-aided recognition of small rounded pneumoconiosis opacities in chest X-rays
Author :
Savol, A.M. ; Li, C.C. ; Hoy, R.J.
Author_Institution :
Dept. of Electrical Engng., Univ. of Pittsburgh, Pittsburgh, PA, USA
Abstract :
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.
Keywords :
computerised pattern recognition; computerised picture processing; patient diagnosis; adaptive object growing algorithm; chest X-rays; coal workers; computer aided recognition; isolation contrast integral; small rounded pneumoconiosis opacities; Biomedical imaging; Coal; Computers; Lungs; Pattern recognition; Radiography; X-rays; Biomedical image processing; biomedical pattern recognition; black lung; chest radiographs; coal worker´s pneumoconiosis (CWP); early detection; pneumoconiosis; rounded opacities;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1980.6592371
