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In-context learning enables multimodal large language models to classify cancer pathology images

In-context learning enables multimodal large language models to classify cancer pathology images

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3fa7eb85942f4c83b6c9d066cad3cbe7

In-context learning enables multimodal large language models to classify cancer pathology images

About this item

Full title

In-context learning enables multimodal large language models to classify cancer pathology images

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2024-11, Vol.15 (1), p.10104-12, Article 10104

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Medical image classification requires labeled, task-specific datasets which are used to train deep learning networks de novo, or to fine-tune foundation models. However, this process is computationally and technically demanding. In language processing, in-context learning provides an alternative, where models learn from within prompts, bypassing th...

Alternative Titles

Full title

In-context learning enables multimodal large language models to classify cancer pathology images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3fa7eb85942f4c83b6c9d066cad3cbe7

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3fa7eb85942f4c83b6c9d066cad3cbe7

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-024-51465-9

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