A hybrid automatic system for the diagnosis of lung cancer based on genetic algorithm and fuzzy extreme learning machines.
about
An Efficient Predictive Model for Myocardial Infarction Using Cost-sensitive J48 ModelA hybrid intelligent diagnosis approach for quick screening of Alzheimer's disease based on multiple neuropsychological rating scales.Intra- and Inter-Fractional Variation Prediction of Lung Tumors Using Fuzzy Deep Learning.A Novel Hybrid Feature Selection Model for Classification of Neuromuscular Dystrophies Using Bhattacharyya Coefficient, Genetic Algorithm and Radial Basis Function Based Support Vector Machine.Developing a genetic fuzzy system for risk assessment of mortality after cardiac surgery.A fuzzy probabilistic method for medical diagnosis.Shape and texture based novel features for automated juxtapleural nodule detection in lung CTs.An intelligent system for lung cancer diagnosis using a new genetic algorithm based feature selection method.Clinical pathways scheduling using hybrid genetic algorithm.
P2860
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P2860
A hybrid automatic system for the diagnosis of lung cancer based on genetic algorithm and fuzzy extreme learning machines.
description
2011 nî lūn-bûn
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2011年の論文
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2011年学术文章
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2011年学术文章
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name
A hybrid automatic system for ...... zzy extreme learning machines.
@en
A hybrid automatic system for ...... zzy extreme learning machines.
@nl
type
label
A hybrid automatic system for ...... zzy extreme learning machines.
@en
A hybrid automatic system for ...... zzy extreme learning machines.
@nl
prefLabel
A hybrid automatic system for ...... zzy extreme learning machines.
@en
A hybrid automatic system for ...... zzy extreme learning machines.
@nl
P2860
P1476
A hybrid automatic system for ...... zzy extreme learning machines.
@en
P2093
Mohammad Reza Daliri
P2860
P2888
P304
P356
10.1007/S10916-011-9806-Y
P577
2011-11-24T00:00:00Z