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PolypMixNet: 增强半监督的多体细分与多体意识增强

Xiao Jia1, Yutian Shen2, Jianhong Yang1

  • 1School of Control Science and Engineering, Shandong University, Jinan, China.

Computers in biology and medicine
|February 7, 2024
PubMed
概括

这项研究介绍了PolypMixNet,这是一种新的半监督学习框架,用于在结肠镜检查中使用人工智能辅助的片细分. 它有效地解决了有限的数据和阶级不平衡,实现了结直肠癌诊断的最先进性能.

关键词:
一致性规范化规范化混合增强的增强.聚合物细分的聚合物细分.伪标签是一种伪标签.半监督学习 半监督学习

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