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...
Main Authors: | , , , , , , , , , , |
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格式: | Article |
語言: | English |
出版: |
Nature Portfolio
2024-11-01
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叢編: | Nature Communications |
在線閱讀: | https://doi.org/10.1038/s41467-024-51465-9 |