Texture Measures for Automatic Classification of Pulmonary Disease

  • Authors:
  • R. N. Sutton;E. L. Hall

  • Affiliations:
  • Department of Radiology, University of Missouri;-

  • Venue:
  • IEEE Transactions on Computers
  • Year:
  • 1972

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Abstract

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.