A Study of Hippocampal Shape Difference Between Genders by Efficient Hypothesis Test and Discriminative Deformation

Zhou, Luping; Hartley, Richard; Lieby, Paulette; Barnes, Nicholas; Cherbuin, Nicolas; Sachdev, Perminder Singh; Anstey, Kaarin

A Study of Hippocampal Shape Difference Between Genders by Efficient Hypothesis Test and Discriminative Deformation

Date

2007

Authors

Zhou, Luping

Hartley, Richard

Lieby, Paulette

Barnes, Nicholas

Cherbuin, Nicolas

Sachdev, Perminder Singh

Anstey, Kaarin

Publisher

Springer

Abstract

Hypothesis testing is an important way to detect the statistical difference between two populations. In this paper, we use the Fisher permutation and bootstrap tests to differentiate hippocampal shape between genders. These methods are preferred to tradit

Keywords

Keywords: age; algorithm; article; artificial intelligence; automated pattern recognition; computer assisted diagnosis; discriminant analysis; female; hippocampus; histology; human; image enhancement; male; methodology; middle aged; nuclear magnetic resonance imagi

URI

http://hdl.handle.net/1885/30571

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ANU Research Publications

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Medical Image Computing and Computer Assisted Intervention Society Conference Proceedings

Type

Conference paper

Restricted until

2037-12-31

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A Study of Hippocampal Shape Difference Between Genders by Efficient Hypothesis Test and Discriminative Deformation

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