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pro vyhledávání: '"Minzhen, Li"'
Acquiring information about the road lane structure is a crucial step for autonomous navigation. To this end, several approaches tackle this task from different perspectives such as lane marking detection or semantic lane segmentation. However, to th
Externí odkaz:
http://arxiv.org/abs/2001.04708
Publikováno v:
Intelligent Medicine, Vol 1, Iss 2, Pp 70-79 (2021)
Background The prevalence of thyroid cancer is growing rapidly. Early and precise diagnosis is critical in thyroid cancer caring. An automatic thyroid cancer diagnostic tool can be valuable to achieve early detection and diagnostic consistency. Only
Externí odkaz:
https://doaj.org/article/5c5c03bedf704d459a085b0ed6e9344a
Autor:
Zhili Xia, Minzhen Li, Meng Hu, Yanyan Lin, Lawrence Lawer Atteh, Wenkang Fu, Long Gao, Mingzhen Bai, Chongfei Huang, Ping Yue, Yu Liu, Wenbo Meng
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Intrahepatic cholangiocarcinoma (ICC) is a malignant tumor that originates from bile duct’s epithelial cells and is usually characterized by insidious symptoms and poor prognosis. Cinobufotalin (CB), an active ingredient obtained from the Tradition
Externí odkaz:
https://doaj.org/article/1fab5f44ea6c4af3908a92369a38e514
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 33, Iss 01, Pp 53-57 (2021)
Objective The contamination rate and gene groups of Norovirus(NoV) in oyster collected from harvesting farm in Fujian Province was investigated, and the contamination concentration was quantitatively analyzed, so as to provide data support for survei
Externí odkaz:
https://doaj.org/article/67aafb5f9f6f49c7b78c6db5c480aed6
Autor:
Zhiqi Zhong, Yongqiang Chen, Meiyan Fu, Minzhen Li, Kaishuo Yang, Lingping Zeng, Jing Liang, Rupeng Ma, Quan Xie
Publikováno v:
Energy. 272:127165
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
It is very challenging for various visual tasks such as image fusion, pedestrian detection and image-to-image translation in low light conditions due to the loss of effective target areas. In this case, infrared and visible images can be used togethe