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Author

Lin-Wu Wang

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Conference Oct 2026

Research progress on tobacco pest and disease detection: from traditional methods to deep learning

Tobacco pests and diseases cause significant yield losses and quality deterioration in global tobacco production. Therefore, accurate and timely detection of tobacco pests and diseases is essential for supporting field management and reducing production losses. This review traces the methodological development of tobac...

Xiaofan Shan, Hai-Xiang Wang, Yong-Hang Zhou et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Semi-Supervised Virtual Staining via Morphology Preservation and Histopathological Realism Constraints

A stable semi-supervised virtual staining framework that jointly exploits both limited paired data and abundant unpaired source images is proposed, which suppress structural and appearance drift, stabilize semi-supervised stain translation, and promote the preservation of diagnostically relevant information.

Baoshun Wang, Weiping Lin, Lin-Wu Wang et al. · 0 citations

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