Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yemei Bu"'
Autor:
Sijun, Meng, Yueping, Zheng, Wangyue, Wang, Ruizhang, Su, Yu, Zhang, Yi, Zhang, Bingting, Guo, Zhaofang, Han, Wen, Zhang, Wenjuan, Qin, Zhenghua, Jiang, Haineng, Xu, Yemei, Bu, Yuhuan, Zhong, Yulong, He, Hesong, Qiu, Wen, Xu, Hong, Chen, Siqi, Wu, Yongxiu, Zhang, Chao, Dong, Yongchao, Hu, Lizhong, Xie, Xugong, Li, Changhua, Zhang, Wensheng, Pan, Shuisheng, Wu, Yiqun, Hu
Publikováno v:
Digestive and Liver Disease. 54:1202-1208
We developed a computer-aided diagnosis system called ECRCCAD using standard white-light endoscopy (WLE) for predicting conventional adenomas with high-grade dysplasia (HGD) to optimise the patients' management decisions during colonoscopy.Pretrainin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fc2033e168af780b79123d7f40f1f6f
https://doi.org/10.1016/j.dld.2021.12.016
https://doi.org/10.1016/j.dld.2021.12.016
Autor:
Rui-Ting Chen, Shijun Liu, Hua-Ping Peng, Wei Chen, Xiaomin Zhang, Xinhua Lin, Zhen Lin, Linlin Zheng, Hao-Hua Deng, Yemei Bu
Publikováno v:
Analytica Chimica Acta. 1105:162-168
Nanozymes, or nanomaterials that mimic the behaviors of enzymes, are highly promising materials for biomedical applications because of their excellent chemical stability under harsh conditions, simple preparation method and lower costs compared with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3221e541010ddd23cb733e4d2f2a2728
https://doi.org/10.1016/j.aca.2020.01.035
https://doi.org/10.1016/j.aca.2020.01.035
Autor:
Qi Zeng, Wei Chen, Xinhua Lin, Linlin Zheng, Zhen Lin, Yemei Bu, Hao-Hua Deng, Xiaomin Zhang, Shijun Liu, Wensong Yao
Publikováno v:
Journal of Materials Chemistry B. 8:8599-8606
Nanozymes have emerged as enzyme-mimicking nanomaterials to overcome the low stability and high cost of some natural enzymes. The design and fabrication of nanozymes with superior performance to natural enzymes are in urgent demand. Single-atom catal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7a0cc1ccfbbcfeffb6d3ffd9adc3639
https://doi.org/10.1039/d0tb01494j
https://doi.org/10.1039/d0tb01494j
Autor:
Siqi Wu, Xiaolu Zhou, Yuanlong Sun, Wensheng Pan, Yongxiu Zhang, Jianping Jiang, Hang Xiao, Yongchao Hu, Xiaofang Zheng, Lizhong Xie, Yuhuan Zhong, Yu Zhang, Ruizhang Su, Changhua Zhang, Yi Zhang, Shuisheng Wu, Zhenghua Jiang, Xugong Li, Wen Xu, Huafen Zhu, Zhang Wen, Wenxia Li, Yemei Bu, Chao Dong, Wangyue Wang, Chen Yang, Hu Yiqun, Yulong He, Haineng Xu, Limin Ding, Zhaofang Han, Lichong Yan, Wenjuan Qin, Hong Chen, Sijun Meng, Hesong Qiu, Wen Zhang, Yueping Zheng
Background: Early detection and treatment under endoscopy have effectively decreased the mortality of colorectal cancer (CRC). But it is difficult to detect early CRC under white light endoscopy (WLE). Artificial intelligence (A.I.) assisted diagnose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::945a23c0893a4a739e0bfb80814b7a72
Autor:
Zhen, Lin, Xiaomin, Zhang, Shijun, Liu, Linlin, Zheng, Yemei, Bu, Haohua, Deng, Ruiting, Chen, Huaping, Peng, Xinhua, Lin, Wei, Chen
Publikováno v:
Analytica chimica acta. 1105
Nanozymes, or nanomaterials that mimic the behaviors of enzymes, are highly promising materials for biomedical applications because of their excellent chemical stability under harsh conditions, simple preparation method and lower costs compared with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::63ddcf42a720fe344da45ec5c39082c6
https://pubmed.ncbi.nlm.nih.gov/32138915
https://pubmed.ncbi.nlm.nih.gov/32138915
Autor:
Haineng Xu, Wenjuan Qin, Xiaofang Zheng, Yueping Zheng, Siqi Wu, Sijun Meng, Wen Xu, Ruizhang Su, Wensheng Pan, Yi Zhang, Wangyue Wang, Hesong Qiu, Yongxiu Zhang, Wen Zhang, Yuhuan Zhong, Hong Chen, Changhua Zhang, Hang Xiao, Yemei Bu, Shuisheng Wu, Hu Yiqun, Zhaofang Han, Yulong He, Huafen Zhu
ObjectiveArtificial intelligence (AI) has undeniable values in detection, characterization, and monitoring of tumors during cancer imaging. However, major AI explorations in digestive endoscopy have not been systematically planned, and more important
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0599cc72e2ae8dac5054931ca44540fb