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Updated: Jun 16, 2025

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对细胞细分的计算方法进行系统的评估

Yuxing Wang1,2, Junhan Zhao3,4, Hongye Xu1

  • 1Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, United States.

Briefings in bioinformatics
|August 17, 2024
PubMed
概括

基于注意力的计算方法在生物医学成像中为细胞细分提供了卓越的性能. 本研究评估了18种方法,提供了指导方针和资源 (Seggal),以帮助研究人员选择最佳的细胞细分工具.

关键词:
一个基准的基准指标.细胞细分 细胞细分 细胞细分深度学习是一种深度学习.影像成像技术 影像成像技术

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Cell separation was first achieved in 1964 by S. H. Seal, who separated large tumor cells from the smaller blood cells using filtration. Two years later, Pohl and Hawk performed experiments on how cells respond differently to a nonuniform electric field based on the cell type. Such observations were the inception of cell separation methods, which allow isolating a single cell type from a heterogeneous sample.
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