Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Haili Ye"'
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background The detection and management of intracranial aneurysms (IAs) are vital to prevent life-threatening complications like subarachnoid hemorrhage (SAH). Artificial Intelligence (AI) can analyze medical images, like CTA or MRA, spottin
Externí odkaz:
https://doaj.org/article/891c175ee833410981a342e6b96e0bf4
Publikováno v:
Australian Journal of Psychology, Vol 69, Iss 1, Pp 65-73 (2017)
Objective The formats of tracking displays exert important influences on tracking performance. Few previous studies explored the 3‐D tracking display formats. The present study aimed to construct the 3‐D formats for the manual pursuit and compens
Externí odkaz:
https://doaj.org/article/cfa8b769f53547b9b74d2552d5bd285c
Autor:
Hongyang Jiang, Yilin Hou, Hanpei Miao, Haili Ye, Mengdi Gao, Xiaoling Li, Richu Jin, Jiang Liu
Publikováno v:
Biomedical Signal Processing and Control. 84:104830
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e72e83dc78886f2f51415e04da2537c
https://doi.org/10.1016/j.bspc.2023.104830
https://doi.org/10.1016/j.bspc.2023.104830
CDE-Net: A semi-supervised nucleus instance segmentation method based on center deviation estimation
Publikováno v:
Proceedings of the 8th International Conference on Computing and Artificial Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76dcea2b42faacf3d2c73132862dc908
https://doi.org/10.1145/3532213.3532291
https://doi.org/10.1145/3532213.3532291
Publikováno v:
Journal of Physics: Conference Series. 2278:012043
Medical imaging technology has become one of the indispensable computer-assisted intervention methods in clinical disease diagnosis and treatment, including identifying and locating lesion areas, detecting and segmenting tissue and organ lesions in d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5099c023ff911a78f2a0b64f8f02bfc1
https://doi.org/10.1088/1742-6596/2278/1/012043
https://doi.org/10.1088/1742-6596/2278/1/012043
Autor:
Feng, Juxiong1 (AUTHOR) 19481268@life.hkbu.edu.hk, Cai, Pengpeng2 (AUTHOR) caip@tcd.ie, Guan, Xin3 (AUTHOR) guanxin@xhsysu.edu.cn, Li, Xuhong4 (AUTHOR) xuhongli-c@my.cityu.edu.hk, He, Langjie1 (AUTHOR) 20483198@life.hkbu.edu.hk, Fung, Kwok-kin1 (AUTHOR) kkfung@hkbu.edu.hk, Mai, Zheyuan5 (AUTHOR) zhe747659874@gmail.com
Publikováno v:
Social Sciences (2076-0760). Feb2024, Vol. 13 Issue 2, p122. 18p.
Publikováno v:
BMC Medical Imaging; 7/2/2024, p1-11, 11p
Selected, peer reviewed papers from the China Functional Material Technology and Industry Forum CFMTIF 2015, October 30th - Novemnber 1th, 2015
The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022. The total of 277 contributions included in the proceedings set was carefully reviewed an