Alzheimer's disease detection using a projection based learning meta-cognitive RBF network
In this paper, we present a novel approach with Voxel-Based Morphometry (VBM) detected features using a proposed `Projection Based Learning for Meta-cognitive Radial Basis Function Network (PBL-McRBFN)' classifier for the detection of Alzheimer's disease (AD) from Magnetic Resonance Imagin...
محفوظ في:
المؤلفون الرئيسيون: | Sateesh Babu, Giduthuri, Suresh, Sundaram, Mahanand, Belathur Suresh |
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مؤلفون آخرون: | School of Computer Engineering |
التنسيق: | Conference or Workshop Item |
اللغة: | English |
منشور في: |
2013
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الموضوعات: | |
الوصول للمادة أونلاين: | https://hdl.handle.net/10356/97861 http://hdl.handle.net/10220/12405 |
الوسوم: |
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المؤسسة: | Nanyang Technological University |
اللغة: | English |
مواد مشابهة
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Meta-cognitive sequential learning in RBF network for diagnosis of neurodegenerative diseases
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منشور في: (2014) -
A novel PBL-McRBFN-RFE approach for identification of critical brain regions responsible for Parkinson’s disease
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منشور في: (2013) -
Meta-cognitive neural network for classification problems in a sequential learning framework
بواسطة: Sateesh Babu, Giduthuri, وآخرون
منشور في: (2013) -
A projection based learning in Meta-cognitive Radial Basis Function Network for classification problems
بواسطة: Sateesh Babu, Giduthuri, وآخرون
منشور في: (2013) -
Identification of brain regions responsible for Alzheimer’s disease using a self-adaptive resource allocation network
بواسطة: Mahanand, Belathur Suresh, وآخرون
منشور في: (2013)