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Content-based medical image retrieval using a novel hybrid scattering coefficients - bag of visual w...

Content-based medical image retrieval using a novel hybrid scattering coefficients - bag of visual w...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2513415152

Content-based medical image retrieval using a novel hybrid scattering coefficients - bag of visual words - DWT relevance fusion

About this item

Full title

Content-based medical image retrieval using a novel hybrid scattering coefficients - bag of visual words - DWT relevance fusion

Publisher

New York: Springer US

Journal title

Multimedia tools and applications, 2021-03, Vol.80 (8), p.11815-11841

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

Image content analysis plays a major role in image classification, retrieval, and indexing together with object and scene recognition. Numerous image content descriptors are proposed in the literature, but their high computational costs and lower-performance scores make them inappropriate for content-based medical image retrieval (CBMIR) for large...

Alternative Titles

Full title

Content-based medical image retrieval using a novel hybrid scattering coefficients - bag of visual words - DWT relevance fusion

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2513415152

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2513415152

Other Identifiers

ISSN

1380-7501

E-ISSN

1573-7721

DOI

10.1007/s11042-020-10415-5

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