P. Wilhelm, D. R. Haynor, Y. Kim, and E. A. Riskin, "Lossy image compression for digital medical imaging system," Optical Engineering, vol. 30, pp. 1479--1485, Oct. 1991.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....the original. Image quality is typically quantified objectively by average distortion or SNR, and subjectively by statistical analyses of viewers scores on quality (e.g. analysis of variance (ANOVA) and receiver operating characteristic (ROC) curves) Examples of such approaches may be found in [31, 16, 32, 33, 15, 14, 34]. ROC analysis is the dominant technique for evaluating the suitability of radiologic techniques for real applications [35, 36, 37, 38] Its origins are in the theory of signal detection: a filtered version of signal plus Gaussian noise is sampled and compared to a threshold. If the threshold is ....

P. Wilhelm, D. R. Haynor, Y. Kim, and E. A. Riskin, "Lossy image compression for digital medical imaging system," Optical Engineering, vol. 30, pp. 1479--1485, Oct. 1991.

....the original. Image quality is typically quantified objectively by average distortion or SNR, and subjectively by statistical analyses of viewers scores on quality (e.g. analysis of variance (ANOVA) and receiver operating characteristic (ROC) curves) Examples of such approaches may be found in [31, 16, 32, 33, 15, 14, 34]. ROC analysis is the dominant technique for evaluating the suitability of radiologic techniques for real applications [35, 36, 37, 38] Its origins are in the theory of signal detection: a filtered version of signal plus Gaussian noise is sampled and compared to a threshold. If the threshold is ....

P. Wilhelm, D. R. Haynor, Y. Kim, and E. A. Riskin, "Lossy image compression for digital medical imaging system," Optical Engineering, vol. 30, pp. 1479--1485, Oct. 1991.

....the original. Image quality is typically quantified objectively by average distortion or SNR, and subjectively by statistical analyses of viewers scores on quality (e.g. analysis of variance (ANOVA) and receiver operating characteristic (ROC) curves) Examples of such approaches may be found in [13 15, 30 33]. ROC analysis is the dominant technique for evaluating the suitability of radiologic techniques for real applications [34 37] Its origins are in the theory of signal detection: a filtered version of signal plus Gaussian noise is sampled and compared to a threshold. If the threshold is ....

P. Wilhelm, D. R. Haynor, Y. Kim, and E. A. Riskin, "Lossy image compression for digital medical imaging system," Optical Engineering, vol. 30, pp. 1479--1485, Oct. 1991.

....the original. Image quality is typically quantified objectively by average distortion or SNR, and subjectively by statistical analyses of viewers scores on quality (e.g. analysis of variance (ANOVA) and receiver operating characteristic (ROC) curves) Examples of such approaches may be found in [31, 16, 32, 33, 15, 14, 34]. ROC analysis is the dominant technique for evaluating the suitability of radiologic techniques for real applications [35, 36, 37, 38] Its origins are in the theory of signal detection: a filtered version of signal plus Gaussian noise is sampled and compared to a threshold. If the threshold is ....

P. Wilhelm, D. R. Haynor, Y. Kim, and E. A. Riskin, "Lossy image compression for digital medical imaging system," Optical Engineering, vol. 30, pp. 1479--1485, Oct. 1991.

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P. Wilhelm, D.R. Haynor, Y. Kim, and E.A. Riskin, "Lossy image compression for digital medical imaging systems", Optical Engineering, Vol. 30, No. 1, pp. 1479-1485, October 1991.

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