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Updated: Jan 25, 2026

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细胞ViT++:使用基础模型进行节能和适应性细胞细分和分类

Fabian Hörst1, Moritz Rempe1, Helmut Becker2

  • 1Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), Essen, 45131, Germany; Cancer Research Center Cologne Essen (CCCE), West German Cancer Center Essen, University Hospital Essen (AöR), Essen, 45131, Germany; Department of Physics, TU Dortmund University, Dortmund, 44227, Germany.

Computer methods and programs in biomedicine
|January 23, 2026
PubMed
概括

细胞ViT++提供了一个数据效率高的深度学习框架,用于数字病理学中的细胞细分. 这种轻量级的模型可以快速适应新的细胞类型,使用最小的数据,从而降低计算成本和注释时间.

关键词:
人工智能的人工智能是人工智能.细胞 细胞 细胞数字病理学数字病理学基金会模型 基金会模型分段化 分段化 分段化 分段化

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