Xudong Yan

Nov 23, 2024 | biorxiv.org | Xudong Yan |Mingze Yuan |Yao Lu |Ying Zhang

AbstractHistological staining is vital in clinical pathology for visualizing tissue structures. However, these techniques are laborious and time-consuming. Digital virtual staining offers a promising solution, but existing methods typically rely on Generative Adversarial Networks (GANs), which may suffer from artifacts and mode collapse. Motivated by the success of diffusion models, we present DUST, a novel Diffusion-based Unified framework for versatile Stain Transfer in histopathology.

Jul 8, 2024 | mdpi.com | Ruiyun Chen |Xudong Yan |Mingxi Cai |Jiamei Cai

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Oct 29, 2023 | mdpi.com | Lai Wei |Xiaofeng Xu |Yang Zhao |Xudong Yan

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Mar 7, 2023 | mdpi.com | Lai Wei |Xiaofeng Xu |Yang Zhao |Xudong Yan

Open AccessCommunication by Lai Wei 1, Xiaofeng Xu 1,2,*, Yang Zhao 2,3, Xudong Yan 1, Yachong Zhou 1, Zhicheng Wu 1 and Yongqiang Yu 1 1 Key Laboratory of Automobile Materials, Ministry of Education and Department of Materials Science and Engineering, Jilin University, Changchun 130022, China 2 Weihai Institute for Bionics, Jilin University, Weihai 130022, China 3 Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China * Author to whom...