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Updated: Feb 2, 2026

3D Analysis of Multi-cellular Responses to Chemoattractant Gradients
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SSG-CAM:通过精细的二阶梯度和进化的多层融合增强视觉解释性

Zhiqing Chen1, Yuejin J Zhang2, Lei Pan3,4

  • 1School of Information and Software Engineering, East China Jiaotong University, Nanchang, 330013, JiangXi, China.

Scientific reports
|January 31, 2026
PubMed
概括

我们介绍了平滑的二次梯度类激活映射 (SSG-CAM),以改进深度学习的视觉解释. 我们的方法提高了本地化准确性,并自动融合功能地图,以获得更好的洞察力.

关键词:
类激活映射的映射 类激活映射不同进化算法差异演化算法第二阶梯度的梯度.视觉解释 视觉解释

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