Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ai, Shiliang"'
Autor:
Zhang, Haiqing, Li, Chen, Ai, Shiliang, Chen, Haoyuan, Zheng, Yuchao, Li, Yixin, Li, Xiaoyan, Sun, Hongzan, Huang, Xinyu, Grzegorzek, Marcin
The gold standard for gastric cancer detection is gastric histopathological image analysis, but there are certain drawbacks in the existing histopathological detection and diagnosis. In this paper, based on the study of computer aided diagnosis syste
Externí odkaz:
http://arxiv.org/abs/2205.08467
Autor:
Chen, Haoyuan, Li, Chen, Wang, Ge, Li, Xiaoyan, Rahaman, Md, Sun, Hongzan, Hu, Weiming, Li, Yixin, Liu, Wanli, Sun, Changhao, Ai, Shiliang, Grzegorzek, Marcin
Publikováno v:
Pattern Recognition Volume 130, October 2022, 108827
In this paper, a multi-scale visual transformer model, referred as GasHis-Transformer, is proposed for Gastric Histopathological Image Detection (GHID), which enables the automatic global detection of gastric cancer images. GasHis-Transformer model c
Externí odkaz:
http://arxiv.org/abs/2104.14528
Autor:
Zhou, Xiaomin, Li, Chen, Rahaman, Md Mamunur, Yao, Yudong, Ai, Shiliang, Sun, Changhao, Li, Xiaoyan, Wang, Qian, Jiang, Tao
Publikováno v:
IEEE Access, Vol.8, page:90931-90956, 2020
Breast cancer is one of the most common and deadliest cancers among women. Since histopathological images contain sufficient phenotypic information, they play an indispensable role in the diagnosis and treatment of breast cancers. To improve the accu
Externí odkaz:
http://arxiv.org/abs/2003.12255
Autor:
Sun, Changhao, Li, Chen, Zhang, Jinghua, Rahaman, Muhammad, Ai, Shiliang, Chen, Hao, Kulwa, Frank, Li, Yixin, Li, Xiaoyan, Jiang, Tao
Publikováno v:
Biocybernetics and Biomedical Engineering, 2020, 40(4): 1535-1555
For the Convolutional Neural Networks (CNNs) applied in the intelligent diagnosis of gastric cancer, existing methods mostly focus on individual characteristics or network frameworks without a policy to depict the integral information. Mainly, Condit
Externí odkaz:
http://arxiv.org/abs/2003.01302
Autor:
Chen, Haoyuan, Li, Chen, Wang, Ge, Li, Xiaoyan, Mamunur Rahaman, Md, Sun, Hongzan, Hu, Weiming, Li, Yixin, Liu, Wanli, Sun, Changhao, Ai, Shiliang, Grzegorzek, Marcin
Publikováno v:
In Pattern Recognition October 2022 130
Autor:
Ai, Shiliang1 (AUTHOR), Li, Chen1 (AUTHOR), Li, Xiaoyan2 (AUTHOR), Jiang, Tao3 (AUTHOR), Grzegorzek, Marcin4 (AUTHOR), Sun, Changhao1,4,5 (AUTHOR), Rahaman, Md Mamunur1 (AUTHOR), Zhang, Jinghua1,4 (AUTHOR), Yao, Yudong6 (AUTHOR), Li, Hong1 (AUTHOR)
Publikováno v:
BioMed Research International. 6/28/2021, p1-19. 19p.