Multi-task learning for medical foundation models

doi:10.1038/s43588-024-00658-9

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Multi-task learning for medical foundation models

2024-07-19

PRE

Jiancheng Yang *

DOI：10.1038/s43588-024-00658-9

Original

Original request for help

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Abstract

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.

Journal

Nature Computational Science

IF:

18.3

Papers:

3.1K

Citations:

4.0K

Organization

swiss federal institutes of technology domain

Scholars:

9.0W

Papers: 8.0W

Citations: 163

Cited Papers

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Overcoming data scarcity in biomedical imaging with a foundational multi-task model

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A survey on deep learning in medical image analysis

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Using Xenopus Skin to Study Cilia Development and Function

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2013-01-01

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