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Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stro...

Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stro...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2740204849

Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stroke dataset

About this item

Full title

Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stroke dataset

Publisher

New York: Springer US

Journal title

Multimedia tools and applications, 2022-12, Vol.81 (29), p.41429-41453

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

Stroke is enlisted as one of the leading causes of death and serious disability affecting millions of human lives across the world with high possibilities of becoming an epidemic in the next few decades. Timely detection and prompt decision making pertinent to this disease, plays a major role which can reduce chances of brain death, paralysis and o...

Alternative Titles

Full title

Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stroke dataset

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2740204849

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2740204849

Other Identifiers

ISSN

1380-7501

E-ISSN

1573-7721

DOI

10.1007/s11042-020-09988-y

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