Presentation 2006-03-17
A discrimination method of gender using the corpus callosum by support vector machines
Yoko KAWAMURA, Yasunari YOKOTA, Yuzuru KAMEYA,
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Abstract(in English) We investigated differences in corpus callosum shapes at the midsagittal plane using MRI for different subjects: normal males, normal females, and subjects with gender identity disorder (GID). We first represented callosal shapes using Fourier descriptors. Using linear support vector machines (SVM) with soft-margin, we subsequently discovered a measure that can distinguish normal males and females optimally: the measure has prominent sex-related difference. We further showed that values of the measure for GID more closely resembled those for those subjects' psychological sex, i.e. gender, than their physical sex. We concluded that the measure found in this study has no sex-related differences, but does have gender-related differences, but does have gender-related differences.
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Keyword(in English) Support vector machines / Fourier descriptors / MRI / Corpus callosum shapes / Gender identity disorder / Gender differences
Paper # NC2005-165
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Committee NC
Conference Date 2006/3/10(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A discrimination method of gender using the corpus callosum by support vector machines
Sub Title (in English)
Keyword(1) Support vector machines
Keyword(2) Fourier descriptors
Keyword(3) MRI
Keyword(4) Corpus callosum shapes
Keyword(5) Gender identity disorder
Keyword(6) Gender differences
1st Author's Name Yoko KAWAMURA
1st Author's Affiliation Faculty of Engineering, Gifu University()
2nd Author's Name Yasunari YOKOTA
2nd Author's Affiliation Faculty of Engineering, Gifu University
3rd Author's Name Yuzuru KAMEYA
3rd Author's Affiliation Kameya Mental Clinic
Date 2006-03-17
Paper # NC2005-165
Volume (vol) vol.105
Number (no) 659
Page pp.pp.-
#Pages 6
Date of Issue