Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Shiliang Ai"'
Autor:
Xiaomin Zhou, Chen Li, Md Mamunur Rahaman, Yudong Yao, Shiliang Ai, Changhao Sun, Qian Wang, Yong Zhang, Mo Li, Xiaoyan Li, Tao Jiang, Dan Xue, Shouliang Qi, Yueyang Teng
Publikováno v:
IEEE Access, Vol 8, Pp 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:
https://doaj.org/article/9910e9f983b444798f2e06d69b9ed16c
Publikováno v:
SN Computer Science. 2
To apply topological information to solve a cervical histopathology image clustering (CHIC) problem, a graph based unsupervised learning (GBUL) approach is proposed in this paper. First, the GBUL method applies color features and k-means clustering t
Autor:
Haoyuan Chen, Chen Li, Ge Wang, Xiaoyan Li, Md Mamunur Rahaman, Hongzan Sun, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Shiliang Ai, Marcin Grzegorzek
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c29c5e541d1424786e0a9b10fc4f88d
Autor:
Haiqing Zhang, Chen Li, Shiliang Ai, Haoyuan Chen, Yuchao Zheng, Yixin Li, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Grzegorzek, Marcin
Publikováno v:
Digital Medicine; Jul2022, Vol. 8, p1-13, 13p
Autor:
Marcin Grzegorzek, Jinghua Zhang, Tao Jiang, Chen Li, Xiaoyan Li, Changhao Sun, Mamunur Rahaman, Shiliang Ai, Yu-Dong Yao, Hong Li
Publikováno v:
BioMed Research International
BioMed Research International, Vol 2021 (2021)
BioMed Research International, Vol 2021 (2021)
Gastric cancer is a common and deadly cancer in the world. The gold standard for the detection of gastric cancer is the histological examination by pathologists, where Gastric Histopathological Image Analysis (GHIA) contributes significant diagnostic
Publikováno v:
ISICDM
Gastric cancer is the fourth most common cancer in the world and the second most common cause of cancer-related deaths. Accurate diagnosis of gastric cancer is very important. In recent years, with the development of computer-aided diagnosis system,
Publikováno v:
ISICDM
Gastric Cancer is one of the five most common types of malignant tumors among men and women worldwide and it is very important to make precise diagnosis for the early stage of gastric cancer. In this paper, we compare eight methods in Gastric Histopa
Autor:
Xiaoyan Li, Yong Zhang, Shouliang Qi, Yu-Dong Yao, Qian Wang, Mo Li, Tao Jiang, Yueyang Teng, Mamunur Rahaman, Dan Xue, Shiliang Ai, Xiaomin Zhou, Changhao Sun, Chen Li
Publikováno v:
IEEE Access, Vol 8, Pp 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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::625dccd0681ace948d1acba9875fc890
Autor:
Xiaoyan Li, Yixin Li, Shiliang Ai, Muhammad Rahaman, Chen Li, Tao Jiang, Hao Chen, Changhao Sun, Jinghua Zhang, Frank Kulwa
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da68bc0030fad669e8ff1f27b84bb335
Autor:
Chen Li, Haiqing Zhang, Shiliang Ai, Haoyuan Chen, Yuchao Zheng, Yixin Li, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek
Publikováno v:
Digital Medicine. 8:15