中国科学院计算技术研究所机构知识库

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	Sparse and Hierarchical Transformer for Survival Analysis on Whole Slide Images 期刊论文 IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 卷号: 28, 期号: 1, 页码: 7-18 作者:  Yan, Rui;  Lv, Zhilong;  Yang, Zhidong;  Lin, Senlin;  Zheng, Chunhou;  Zhang, Fa 收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20 Hierarchical representation  pathological image analysis  sparse transformer  survival analysis
	TransSurv: Transformer-Based Survival Analysis Model Integrating Histopathological Images and Genomic Data for Colorectal Cancer 期刊论文 IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2023, 卷号: 20, 期号: 6, 页码: 3411-3420 作者:  Lv, Zhilong;  Lin, Yuexiao;  Yan, Rui;  Wang, Ying;  Zhang, Fa 收藏  |  浏览/下载：9/0  |  提交时间：2024/05/20 Cancer  Genomics  Bioinformatics  Transformers  Tumors  Feature extraction  Prognostics and health management  Survival analysis  multi-modal learning  transformer  histopathological slides  genomic data
	Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning 期刊论文 MEDICAL IMAGE ANALYSIS, 2023, 卷号: 87, 页码: 13 作者:  Yan, Rui;  Shen, Yijun;  Zhang, Xueyuan;  Xu, Peihang;  Wang, Jun;  Li, Jintao;  Ren, Fei;  Ye, Dingwei;  Zhou, S. Kevin 收藏  |  浏览/下载：8/0  |  提交时间：2023/12/04 Bladder cancer  Contrastive learning  Gene mutation prediction  Histopathological image analysis  Multiple instance learning
	Divide-and-Attention Network for HE-Stained Pathological Image Classification 期刊论文 BIOLOGY-BASEL, 2022, 卷号: 11, 期号: 7, 页码: 17 作者:  Yan, Rui;  Yang, Zhidong;  Li, Jintao;  Zheng, Chunhou;  Zhang, Fa 收藏  |  浏览/下载：23/0  |  提交时间：2022/12/07 pathological image classification  attention mechanism  convolutional neural network  knowledge embedding
	Nuclei-Guided Network for Breast Cancer Grading in HE-Stained Pathological Images 期刊论文 SENSORS, 2022, 卷号: 22, 期号: 11, 页码: 15 作者:  Yan, Rui;  Ren, Fei;  Li, Jintao;  Rao, Xiaosong;  Lv, Zhilong;  Zheng, Chunhou;  Zhang, Fa 收藏  |  浏览/下载：24/0  |  提交时间：2022/12/07 breast cancer grading  histopathological image  nuclei segmentation  convolutional neural network  attention mechanism