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Vision-Language Model for Visual Question Answering in Medical Imagery

Vision-Language Model for Visual Question Answering in Medical Imagery

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_043e97016bc343d78b593a5b451e4eb3

Vision-Language Model for Visual Question Answering in Medical Imagery

About this item

Full title

Vision-Language Model for Visual Question Answering in Medical Imagery

Publisher

Switzerland: MDPI AG

Journal title

Bioengineering (Basel), 2023-03, Vol.10 (3), p.380

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

In the clinical and healthcare domains, medical images play a critical role. A mature medical visual question answering system (VQA) can improve diagnosis by answering clinical questions presented with a medical image. Despite its enormous potential in the healthcare industry and services, this technology is still in its infancy and is far from pra...

Alternative Titles

Full title

Vision-Language Model for Visual Question Answering in Medical Imagery

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_043e97016bc343d78b593a5b451e4eb3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_043e97016bc343d78b593a5b451e4eb3

Other Identifiers

ISSN

2306-5354

E-ISSN

2306-5354

DOI

10.3390/bioengineering10030380

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