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Hippocampal Shape Classification Using Redundancy Constrained Feature Selection

Date

Authors

Zhou, Luping

Wang, Lei

Shen, Chunhua

Barnes, Nicholas

Publisher

Springer

Abstract

Landmark-based 3D hippocampal shape classification involves high-dimensional descriptor space, many noisy and redundant features, and a very small number of training samples. Feature selection becomes critical in this situation, because it not only improv

Keywords

Keywords: algorithm; Alzheimer disease; article; automated pattern recognition; computer assisted diagnosis; hippocampus; human; image enhancement; methodology; nuclear magnetic resonance imaging; pathology; reproducibility; sensitivity and specificity; three dimen

URI

http://hdl.handle.net/1885/22199

Collections

ANU Research Publications

Source

Proceedings of Medical Image Computing and Computer-Assisted Intervention (MiCCAI 2010)

Type

Conference paper

DOI

10.1007/978-3-642-15745-5

Restricted until

2037-12-31

Downloads

File

Description

01_Zhou_Hippocampal_Shape_2010.pdf (225.94 KB)