Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Jia Xiping"'
Autor:
Lin, Jiatai, Han, Guoqiang, Pan, Xipeng, Chen, Hao, Li, Danyi, Jia, Xiping, Shi, Zhenwei, Wang, Zhizhen, Cui, Yanfen, Li, Haiming, Liang, Changhong, Liang, Li, Liu, Zaiyi, Han, Chu
Histopathological tissue classification is a fundamental task in pathomics cancer research. Precisely differentiating different tissue types is a benefit for the downstream researches, like cancer diagnosis, prognosis and etc. Existing works mostly l
Externí odkaz:
http://arxiv.org/abs/2111.03063
Publikováno v:
In Knowledge-Based Systems 5 August 2021 225
Autor:
Liu, Shaopeng, Hong, Jiaming, Lu, Xu, Jia, Xiping, Lin, Zhiyong, Zhou, Ying, Liu, Ye, Zhang, Heye
Publikováno v:
In Computers in Biology and Medicine December 2019 115
Publikováno v:
In Procedia Computer Science 2015 55:818-824
Akademický článek
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Autor:
Jia Xiping, Liu Shaopeng, Liao Xiuxiu, Lin Zhengchun, Zhang Qian, Lin Zhiyong, Chen Guijun, Bai Kejia
Publikováno v:
Signal, Image and Video Processing. 15:33-41
Water level measure is the key task in hydrological monitoring, wherein water level ruler (WLR) is the necessary enabled measure instrument. Due to its low cost and easy deployment, WLR has been widely used for flood monitoring in many hydrological s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dddee45aee2a7a2585e2877381f575ef
https://doi.org/10.1007/s11760-020-01719-y
https://doi.org/10.1007/s11760-020-01719-y
Publikováno v:
COMPUTING AND INFORMATICS; Vol. 38 No. 6 (2019): Computing and Informatics; 1301-1319
Sparse coding-based single image super-resolution has attracted much interest. In this paper, a super-resolution reconstruction algorithm based on sparse coding with multi-class dictionaries is put forward. We propose a novel method for image patch c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c412f4e6479f00cbdb4a5986e44c104f
https://doi.org/10.31577/cai_2019_6_1301
https://doi.org/10.31577/cai_2019_6_1301
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Chen, Guijun, Bai, Kejia, Lin, Zhengchun, Liao, Xiuxiu, Liu, Shaopeng, Lin, Zhiyong, Zhang, Qian, Jia, Xiping
Publikováno v:
Signal, Image & Video Processing; 2021, Vol. 15 Issue 1, p33-41, 9p
Publikováno v:
Computers in Biology and Medicine. 115:103485
Glaucoma is a chronic and widespread eye disease threatening humans' irreversible vision loss. The cup-to-disc ratio (CDR), one of the most important measurements used for glaucoma screening and diagnosis, requires accurate segmentation of optic disc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96beb2788a3973f68d304c9277616dfd
https://doi.org/10.1016/j.compbiomed.2019.103485
https://doi.org/10.1016/j.compbiomed.2019.103485