Artificial intelligence in lung cancer screening: Detection, classification, prediction, and prognosis

Autor: Wu Quanyang, Huang Yao, Wang Sicong, Qi Linlin, Zhang Zewei, Hou Donghui, Li Hongjia, Zhao Shijun

Publikováno v: Cancer Medicine, Vol 13, Iss 7, Pp n/a-n/a (2024)

Abstract Background The exceptional capabilities of artificial intelligence (AI) in extracting image information and processing complex models have led to its recognition across various medical fields. With the continuous evolution of AI technologies

Externí odkaz: https://doaj.org/article/8daf31bb3600441791d6550eb674b938

The Road to Trust: Building Enclaves within Confidential VMs

Autor: Wang, Wenhao, Song, Linke, Mei, Benshan, Liu, Shuang, Zhao, Shijun, Yan, Shoumeng, Wang, XiaoFeng, Meng, Dan, Hou, Rui

Integrity is critical for maintaining system security, as it ensures that only genuine software is loaded onto a machine. Although confidential virtual machines (CVMs) function within isolated environments separate from the host, it is important to r

Externí odkaz: http://arxiv.org/abs/2402.11438

A 16-year evaluation of opportunistic lung cancer screening with low-dose CT in China: comparative findings between non-smokers and smokers.

Autor: Tang, Yanyan¹ (AUTHOR), Zhao, Shijun¹ (AUTHOR), Zhou, Lina¹ (AUTHOR), Huang, Yao¹ (AUTHOR), Wang, Jianwei¹ (AUTHOR), Liang, Min² (AUTHOR), Wang, Fei³ (AUTHOR), Zhu, Haohua⁴ (AUTHOR), Qi, Linlin¹ (AUTHOR), Zhang, Li¹ (AUTHOR), Liu, Li¹ (AUTHOR), Hou, Donghui¹ (AUTHOR), Xu, Zhijian⁵ (AUTHOR), Zhang, Kai⁵ (AUTHOR), Tang, Wei¹ (AUTHOR) tang.wei@vip.163.com, Wu, Ning^1,6 (AUTHOR) cjr.wuning@vip.163.com

Publikováno v: BMC Cancer. 10/28/2024, Vol. 24 Issue 1, p1-13. 13p.

Natural algicidal compounds: Strategies for controlling harmful algae and application

Autor: Li, Huili, Xing, Ronglian, Ji, Xingyu, Liu, Yi, Chu, Xinran, Gu, Jiaxin, Wang, Shengnan, Wang, Gexuan, Zhao, Shijun, Cao, Xuebin

Publikováno v: In Plant Physiology and Biochemistry October 2024 215

Model-based quantitative methods to predict irradiation-induced swelling in alloys

Autor: Ge, Wei, Zhao, Shijun, Wang, Chenxu, Liu, Haocheng, Su, Yue, Huang, Jia, Gao, Zhiying, Xue, Jianming, Zinkle, Steven J., Wang, Yugang

Predicting volume swelling of structural materials in nuclear reactors under high-dose neutron irradiations based on existing low-dose experiments or irradiation data with high-dose-rate energetic particles has been a long-standing challenge for safe

Externí odkaz: http://arxiv.org/abs/2201.04958