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通过学习记忆查询进行一次性细胞细分:在不需要主动调整的情况下实现通用解决方案

Jintu Zheng1, Qizhe Liu1, Yi Ding2

  • 1Center for Cognitive Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Guangdong, China.

Medical image analysis
|June 26, 2025
PubMed
概括

一个新的框架,Mimic,使用一个查询和答复方法,用于生物医学图像中的单步细胞细分. 这种方法适应新的细胞类型而无需重新培训,大大减少了研究人员的劳动力.

关键词:
细胞细分的通用主义者.记忆网络是一个记忆网络.多态显微镜细胞图像算法多态显微镜算法

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