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- W1971195370 abstract "The techniques of statistical pattern recognition are implemented to determine the best combination of tissue characterization parameters for maximizing the diagnostic accuracy of a given task. In this paper, we considered combinations of four ultrasonic tissue parameters to discriminate between normal liver and chronic hepatitis. The separation between normal and diseased samples was made by application of the Bayes test for minimum risk which minimizes the error rate for classifying tissue states while including the prior probability for the presence of disease and the cost of misclassification. Large differences in classification performance of various tissue parameter combinations were demonstrated by ROC analysis. The power of additional features to classify tissue states, even those derived from other imaging modalities, can be compared directly in this manner." @default.
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- W1971195370 date "1986-06-12" @default.
- W1971195370 modified "2023-09-23" @default.
- W1971195370 title "A Statistical Approach To An Expert Diagnostic Ultrasonic System" @default.
- W1971195370 doi "https://doi.org/10.1117/12.975373" @default.
- W1971195370 hasPublicationYear "1986" @default.
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