首页|BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis

BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis

Jiarun Liu Hong-Yu Zhou Weijian Huang Hao Yang Dongning Song Tao Tan Yong Liang Shanshan Wang

来源：

Arxiv

BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis

Jiarun Liu Hong-Yu Zhou Weijian Huang Hao Yang Dongning Song Tao Tan Yong Liang Shanshan Wang

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Jiarun Liu,Hong-Yu Zhou,Weijian Huang,Hao Yang,Dongning Song,Tao Tan,Yong Liang,Shanshan Wang.BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis[EB/OL].(2025-05-14)[2025-12-13].https://arxiv.org/abs/2505.09329.

学科分类

生物科学现状、生物科学发展/生物科学研究方法、生物科学研究技术

首发时间： 2025-05-14

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BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis

BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis

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