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...
Saved in:
Main Authors: | Sateesh Babu, Giduthuri, Suresh, Sundaram, Mahanand, Belathur Suresh |
---|---|
其他作者: | School of Computer Engineering |
格式: | Conference or Workshop Item |
語言: | English |
出版: |
2013
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/97861 http://hdl.handle.net/10220/12405 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Meta-cognitive sequential learning in RBF network for diagnosis of neurodegenerative diseases
由: Giduthuri Sateesh Babu
出版: (2014) -
A novel PBL-McRBFN-RFE approach for identification of critical brain regions responsible for Parkinson’s disease
由: Sateesh Babu, Giduthuri, et al.
出版: (2013) -
Meta-cognitive neural network for classification problems in a sequential learning framework
由: Sateesh Babu, Giduthuri, et al.
出版: (2013) -
A projection based learning in Meta-cognitive Radial Basis Function Network for classification problems
由: Sateesh Babu, Giduthuri, et al.
出版: (2013) -
Identification of brain regions responsible for Alzheimer’s disease using a self-adaptive resource allocation network
由: Mahanand, Belathur Suresh, et al.
出版: (2013)