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A classification algorithm based on improved meta learning and transfer learning for few‐shot medica...

A classification algorithm based on improved meta learning and transfer learning for few‐shot medica...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ef8b424bffd64b01a16bac25581ba1cc

A classification algorithm based on improved meta learning and transfer learning for few‐shot medical images

About this item

Full title

A classification algorithm based on improved meta learning and transfer learning for few‐shot medical images

Publisher

John Wiley & Sons, Inc

Journal title

IET Image Processing, 2023-10, Vol.17 (12), p.3589-3598

Language

English

Formats

Publication information

Publisher

John Wiley & Sons, Inc

More information

Scope and Contents

Contents

At present, medical image classification algorithm plays an important role in clinical diagnosis. However, due to the scarcity of data labels, small sample size, uneven distribution, and poor domain generalization, many algorithms still have limitations. Therefore, a deep learning training network for disease classification and recognition of multi...

Alternative Titles

Full title

A classification algorithm based on improved meta learning and transfer learning for few‐shot medical images

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ef8b424bffd64b01a16bac25581ba1cc

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ef8b424bffd64b01a16bac25581ba1cc

Other Identifiers

ISSN

1751-9659

E-ISSN

1751-9667

DOI

10.1049/ipr2.12889

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