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A multimodal transformer to fuse images and metadata for skin disease classification

A multimodal transformer to fuse images and metadata for skin disease classification

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9070977

A multimodal transformer to fuse images and metadata for skin disease classification

About this item

Full title

A multimodal transformer to fuse images and metadata for skin disease classification

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

The Visual computer, 2023-07, Vol.39 (7), p.2781-2793

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Skin disease cases are rising in prevalence, and the diagnosis of skin diseases is always a challenging task in the clinic. Utilizing deep learning to diagnose skin diseases could help to meet these challenges. In this study, a novel neural network is proposed for the classification of skin diseases. Since the datasets for the research consist of s...

Alternative Titles

Full title

A multimodal transformer to fuse images and metadata for skin disease classification

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9070977

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9070977

Other Identifiers

ISSN

0178-2789

E-ISSN

1432-2315

DOI

10.1007/s00371-022-02492-4

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