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Sparsely guided adaptive pseudo-supervised learning for nucleus segmentation
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DOI：10.1016/j.eswa.2026.132018.png)
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摘要
En 中文
• 一种稀疏引导的伪监督学习框架用于细胞核分割。
• 一种先验引导的特征增强模块对细胞核边界进行建模。
• 一种特征重建路径在弱监督下重建和纠正噪声伪标签。
• 一种动态内存感知存储库存储和更新高质量的伪标签。
Keyword:
nuclei segmentation
pseudo-supervised learning
feature enhancement
label reconstruction
memory-aware repository
期刊
IF:
7.5
论文数:
3.0W
被引数:
10.2W
机构
引用论文
SEINE: Structure Encoding and Interaction Network for Nuclei Instance SegmentationSEINE：用于细胞核实例分割的结构编码与交互网络
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