医学基础模型的多任务学习。

IF 12 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Nature computational science Pub Date : 2024-07-19 DOI:10.1038/s43588-024-00658-9
Jiancheng Yang
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摘要

为了应对使用大型数据集对基础模型进行预训练的挑战,我们提出了一种多任务方法,从而帮助克服生物医学成像中的数据稀缺问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Multi-task learning for medical foundation models
To address the challenge of pretraining foundational models with large datasets, a multi-task approach is proposed, thus helping to overcome the data scarcity problem in biomedical imaging.
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