Zobrazeno 1 - 10
of 408
pro vyhledávání: '"Zheng Yushan"'
The development of computational pathology lies in the consensus that pathological characteristics of tumors are significant guidance for cancer diagnostics. Most existing research focuses on the inner-contextual information within each WSI yet ignor
Externí odkaz:
http://arxiv.org/abs/2410.10260
Existing WSI analysis methods lie on the consensus that histopathological characteristics of tumors are significant guidance for cancer diagnostics. Particularly, as the evolution of cancers is a continuous process, the correlations and differences a
Externí odkaz:
http://arxiv.org/abs/2407.08968
Autor:
Wu, Kun, Jiang, Zhiguo, Tang, Kunming, Shi, Jun, Xie, Fengying, Wang, Wei, Wu, Haibo, Zheng, Yushan
Large-scale pre-training models have promoted the development of histopathology image analysis. However, existing self-supervised methods for histopathology images primarily focus on learning patch features, while there is a notable gap in the availa
Externí odkaz:
http://arxiv.org/abs/2407.07504
Content-based histopathological image retrieval (CBHIR) has gained attention in recent years, offering the capability to return histopathology images that are content-wise similar to the query one from an established database. However, in clinical pr
Externí odkaz:
http://arxiv.org/abs/2407.08153
Autor:
Rong, Jundong1 (AUTHOR), Zheng, Yushan1 (AUTHOR) Q131051@fafu.edu.cn, Zhang, Zeyu2 (AUTHOR), Zhang, Jun2 (AUTHOR), Gu, Yuying2 (AUTHOR), Hua, Tian2 (AUTHOR), Zhao, Mengna2 (AUTHOR), Fan, Lili1 (AUTHOR), Deng, Zhiwen1 (AUTHOR), Pan, Yanmei1 (AUTHOR), Li, Bingjun1 (AUTHOR), Chen, Liguang1 (AUTHOR), He, Tianyou3 (AUTHOR), Chen, Lingyan3 (AUTHOR), Ye, Jing1 (AUTHOR), Zhang, Hangxiao2 (AUTHOR), Gu, Lianfeng2 (AUTHOR) lfgu@fafu.edu.cn
Publikováno v:
Advanced Science. 10/28/2024, Vol. 11 Issue 40, p1-17. 17p.
Transformer has been widely used in histopathology whole slide image (WSI) classification for the purpose of tumor grading, prognosis analysis, etc. However, the design of token-wise self-attention and positional embedding strategy in the common Tran
Externí odkaz:
http://arxiv.org/abs/2206.13156
Local representation learning has been a key challenge to promote the performance of the histopathological whole slide images analysis. The previous representation learning methods followed the supervised learning paradigm. However, manual annotation
Externí odkaz:
http://arxiv.org/abs/2206.13115
Autor:
Shi, Jun, Sun, Dongdong, Wu, Kun, Jiang, Zhiguo, Kong, Xue, Wang, Wei, Wu, Haibo, Zheng, Yushan
Publikováno v:
In Computer Methods and Programs in Biomedicine January 2025 258
Autor:
Zhou, Qian, Qu, Tianhui, Li, Dan, Zheng, Yushan, Zhang, Liting, Li, Ying, Wang, Jianjun, Hou, Xilin, Liu, Tongkun
Publikováno v:
In Plant Science January 2025 350
Autor:
Shi, Jun, Shu, Tong, Wu, Kun, Jiang, Zhiguo, Zheng, Liping, Wang, Wei, Wu, Haibo, Zheng, Yushan
Publikováno v:
In Computer Methods and Programs in Biomedicine August 2024 253