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Texture Measures for Automatic Classification of Pulmonary Disease
July 1972 (vol. 21 no. 7)
pp. 667-676
R.N. Sutton, Department of Radiology, University of Missouri
The complete pattern recognition problem is considered for the practical solution to a current significant medical question. Automated screening of chest radiographs for the detection of textural type abnormalities is approached from the view of: 1) preprocessing for standardization and data reduction; 2) feature extraction of characteristic measures (feature selection by optimization of classification accuracy); and 3) overall classification using training and test sets of selected chest radiographs.
Index Terms:
Feature extraction, image processing, pattern recognition, radiographic image processing.
Citation:
R.N. Sutton, E.L. Hall, "Texture Measures for Automatic Classification of Pulmonary Disease," IEEE Transactions on Computers, vol. 21, no. 7, pp. 667-676, July 1972, doi:10.1109/T-C.1972.223572
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