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...
| المؤلفون الرئيسيون: | , , , , , , , , , , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
Nature Portfolio
2024-11-01
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| سلاسل: | Nature Communications |
| الوصول للمادة أونلاين: | https://doi.org/10.1038/s41467-024-51465-9 |