In-context learning enables multimodal large language models to classify cancer pathology images
Abstract 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 altern...
| Autori principali: | , , , , , , , , , , |
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| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
Nature Portfolio
2024-11-01
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| Serie: | Nature Communications |
| Accesso online: | https://doi.org/10.1038/s41467-024-51465-9 |