TY  - JOUR
AU  - Laura Igual
AU  - Joan Carles Soliva
AU  - Sergio Escalera
AU  - Roger Gimeno
AU  - Oscar Vilarroya
AU  - Petia Radeva
PY  - 2012//
TI  - Automatic Brain Caudate Nuclei Segmentation and Classification in Diagnostic of Attention-Deficit/Hyperactivity Disorder
T2  - CMIG
JO  - Computerized Medical Imaging and Graphics
SP  - 591
EP  - 600
VL  - 36
IS  - 8
KW  - Automatic caudate segmentation
KW  - Attention-Deficit/Hyperactivity Disorder
KW  - Diagnostic test
KW  - Machine learning
KW  - Decision stumps
KW  - Dissociated dipoles
N2  - We present a fully automatic diagnostic imaging test for Attention-Deficit/Hyperactivity Disorder diagnosis assistance based on previously found evidences of caudate nucleus volumetric abnormalities. The proposed method consists of different steps: a new automatic method for external and internal segmentation of caudate based on Machine Learning methodologies; the definition of a set of new volume relation features, 3D Dissociated Dipoles, used for caudate representation and classification. We separately validate the contributions using real data from a pediatric population and show precise internal caudate segmentation and discrimination power of the diagnostic test, showing significant performance improvements in comparison to other state-of-the-art methods.
UR  - http://dx.doi.org/10.1016/j.compmedimag.2012.08.002
L1  - http://refbase.cvc.uab.es/files/ISE2012.pdf
N1  - OR; HuPBA; MILAB
ID  - Laura Igual2012
ER  -