Abstract
A quantitative analysis of renogram pattern observed in hypertensive patients during standing and exercise was performed. The discriminating power of different renogram variables was evaluated.
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References
J.H. Clorius, P. Schmidlin, E. Raptou, W. Huber, P. Georgi, Hypertension associated with massive, bilateral, posture-dependent renal dysfunction. Radiology 140, 231–235 (1981)
J.H. Clorius, P. Schmidlin, The exercise renogram. A new approach documents renal involvment in systemic hypertension. J.Nucl.Med. 24, 104–109 (1983)
P. Schmidlin, J. Clorius, Validation of numerical parameters extracted from renograms. VIIth Int.Conf. Information Processing in Medical Imaging, Stanford, June 22–26 1981
D.F. Morrison, Multivariate Statistical Methods. McGraw-Hill 1976
D.H. Foley, Considerations of sample and feature size. IEEE Trans. Information Theory 18, 618–626 (1972)
W.G. Cochran, On the performance of the linear discriminant function. Technometrics 6, 179–190 (1964)
T.W. Anderson, Introduction to Multivariate Statistical Analysis. John Wiley Sons, 1958
P.A. Lachenbruch, Discriminant Analysis. Hafner Press 1975
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© 1984 Martinus Nijhoff Publishers, The Hague
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Schmidlin, P., Clorius, J.H. (1984). Discriminant Analysis of Exercise Renograms. In: Deconinck, F. (eds) Information Processing in Medical Imaging. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-6045-9_23
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DOI: https://doi.org/10.1007/978-94-009-6045-9_23
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-009-6047-3
Online ISBN: 978-94-009-6045-9
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