Multi-task learning for medical foundation models

doi:10.1038/s43588-024-00658-9

2024-07-19

PRE

Jiancheng Yang *

DOI：10.1038/s43588-024-00658-9

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摘要

En 中文

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.

期刊

Nature Computational Science

IF:

18.3

论文数:

3.1K

被引数:

4.0K

机构

swiss federal institutes of technology domain

学者数:

9.0W

论文数: 8.0W

被引数: 163

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