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Unsupervised Adversarial Domain Adaptation with Hierarchical Semantic Consistency for Cross-Modal Nuclei Detection

Shu-Yu Guo Lan Huang Yu-Hao Mu Tian Bai

Journal of Computer Science & Technology2025，Vol.40Issue(3)：P.780-791,12.

Journal of Computer Science & Technology2025，Vol.40Issue(3)：P.780-791,12.DOI:10.1007/s11390-025-4324-4

Unsupervised Adversarial Domain Adaptation with Hierarchical Semantic Consistency for Cross-Modal Nuclei Detection

Shu-Yu Guo ¹Lan Huang ¹Yu-Hao Mu ¹Tian Bai¹

作者信息

1. College of Computer Science and Technology,Jilin University,Changchun 130012,China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education,Jilin University,Changchun 130012,China
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摘要

关键词

domain adaptation/nuclei detection/unsupervised learning/microscopy image/pathological stain transformation

分类

信息技术与安全科学

引用本文复制引用

Shu-Yu Guo,Lan Huang,Yu-Hao Mu,Tian Bai..Unsupervised Adversarial Domain Adaptation with Hierarchical Semantic Consistency for Cross-Modal Nuclei Detection[J].Journal of Computer Science & Technology,2025,40(3):P.780-791,12.

基金项目

supported by the National Natural Science Foundation of China under Grant No.U21A20390 （）

the Development Project of Jilin Province of China under Grant No.20210509006RQ （）

the Fundamental Research Funds for the Central Universities of China. （）

Journal of Computer Science & Technology

OACSCDCSTPCD

ISSN：1000-9000

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