Digital Pathology
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Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology
Jiayuan Chen, Yu Wang, Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Yilin Liu, Jianyong Zhong, Agnes B. Fogo, Haichun Yang, Shilin Zhao, and Yuankai Huo. “Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology.” Proceedings of SPIE Medical Imaging… Read MoreJune 20, 2024
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Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology
Franklin Hu, Ruining Deng, Shunxing Bao, Haichun Yang, and Yuankai Huo. “Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology.” Proceedings of SPIE Medical Imaging 2024: Digital and Computational Pathology, vol. 12933, 1293319, 2024, San Diego, California, United States. Segmenting tiny blood vessels, like arterioles,… Read MoreJune 20, 2024
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Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers
Muhao Liu, Chenyang Qi, Shunxing Bao, Quan Liu, Ruining Deng, Yu Wang, Shilin Zhao, Haichun Yang, and Yuankai Huo. “Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers.” Proceedings of SPIE Medical Imaging 2024: Digital and Computational Pathology, vol. 12933, 129330I, 2024. Segmenting different… Read MoreJune 20, 2024
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Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation
Yilin Liu, Ruining Deng, Juming Xiong, Regina N. Tyree, Hernan Correa, Girish Hiremath, Yaohong Wang, and Yuankai Huo. “Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation.” Proceedings of SPIE Medical Imaging 2024: Digital and Computational Pathology, vol. 12933, 129330I, 2024. Eosinophilic esophagitis (EoE) is… Read MoreJune 20, 2024
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All-in-SAM: From Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning
Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas W. Remedios, Bennett A. Landman, Yucheng Tang, and Yuankai Huo. “All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning.” Journal of Physics: Conference Series, vol. 2722, 2023, The 4th Asia Conference on Computers and Communications (ACCC… Read MoreJune 20, 2024
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Cross-scale multi-instance learning for pathological image diagnosis
Deng R, Cui C, Remedios LW, Bao S, Womick RM, Chiron S, Li J, Roland JT, Lau KS, Liu Q, Wilson KT, Wang Y, Coburn LA, Landman BA, Huo Y. Cross-scale multi-instance learning for pathological image diagnosis. Med Image Anal. 2024 Feb 27;94:103124. doi: 10.1016/j.media.2024.103124. Epub ahead of print. Read MoreApril 16, 2024