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Multimodal Retrieval Method for Images and Diagnostic Reports Using Cross-Attention

Multimodal Retrieval Method for Images and Diagnostic Reports Using Cross-Attention

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3aca5e11153845d99a8e4f89c18d9e1a

Multimodal Retrieval Method for Images and Diagnostic Reports Using Cross-Attention

About this item

Full title

Multimodal Retrieval Method for Images and Diagnostic Reports Using Cross-Attention

Publisher

Basel: MDPI AG

Journal title

AI (Basel), 2025-02, Vol.6 (2), p.38

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Background: Conventional medical image retrieval methods treat images and text as independent embeddings, limiting their ability to fully utilize the complementary information from both modalities. This separation often results in suboptimal retrieval performance, as the intricate relationships between images and text remain underexplored. Methods:...

Alternative Titles

Full title

Multimodal Retrieval Method for Images and Diagnostic Reports Using Cross-Attention

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3aca5e11153845d99a8e4f89c18d9e1a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3aca5e11153845d99a8e4f89c18d9e1a

Other Identifiers

ISSN

2673-2688

E-ISSN

2673-2688

DOI

10.3390/ai6020038

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