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ISBI
2004
IEEE

Population Classification Based on Structural Morphometry of Cortical Sulci

12 years 5 months ago
Population Classification Based on Structural Morphometry of Cortical Sulci
This paper describes a classification system discriminating male and female brains from morphometric features of cortical sulci. This system is tested on a database of 143 brains, whose sulci were automatically recognized by an artificial neuroanatomist described before. The curse of dimensionality usually plaguing classification problems is overcome using an iterative feature selection loop. The best classifier built from an optimal set of 54 morphometric features achieves a 96% correct generalization rate during a leave-one-out procedure. This result obtained using a support vector machine classifier is very appealing considering the limitations of the sulcus recognition system.
Edouard Duchesnay, Jean-Francois Mangin, Alexis Ro
Added 20 Nov 2009
Updated 20 Nov 2009
Type Conference
Year 2004
Where ISBI
Authors Edouard Duchesnay, Jean-Francois Mangin, Alexis Roche, Denis Rivière, Dimitri Papadopoulos-Orfanos, Yann Cointepas
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