Texture Measures for Automatic Classification of Pulmonary Disease
- 1 July 1972
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Computers
- Vol. C-21 (7) , 667-676
- https://doi.org/10.1109/t-c.1972.223572
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.Keywords
This publication has 2 references indexed in Scilit:
- A Survey of Preprocessing and Feature Extraction Techniques for Radiographic ImagesIEEE Transactions on Computers, 1971
- Diffraction-pattern sampling for automatic pattern recognitionProceedings of the IEEE, 1970