Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Huilan Luo"'
Autor:
Guohao Wu, Haomin Li, Feng Luo, Handa Zheng, Yuanzhi Yuegao, Lishan Xie, Huilan Luo, Zhihui Chen, Dongming Ye, Caiyong Lai
Publikováno v:
BMC Surgery, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Purpose The aim of this study was to present our initial experience and prove the feasibility of total intracorporeal laparoscopic ileal ureter replacement (TILIUR) in a single position for ureteral stricture based on membrane anatomy. Mater
Externí odkaz:
https://doaj.org/article/c836a210ab1d410d8e5c62a19b91a3fb
Autor:
Hongkun Chen, Huilan Luo
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19831-19852 (2024)
High-spatial resolution (HSR) remote sensing images present significant challenges due to their highly complex backgrounds, a large number of densely distributed small targets, and the potential for confusion with land targets. These characteristics
Externí odkaz:
https://doaj.org/article/436a4d29ef0241b7afd4f7439d4ded39
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13809-13823 (2024)
Salient object detection in optical remote sensing images presents distinct challenges, primarily due to the small scale and background similarity of salient objects in images captured by satellite and aerial sensors. Traditional approaches often fai
Externí odkaz:
https://doaj.org/article/84b46b61318c4c528b68a7bde7bf2b92
Autor:
Huilan Luo, Bocheng Liang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 6980-6994 (2023)
Despite salient object detection in natural images has made remarkable progress, it is still an emerging and challenging problem to detect salient objects from optical remote sensing images [remote sensing image salient object detection (RSI-SOD)]. T
Externí odkaz:
https://doaj.org/article/965a039ac70f4428949926fbdc44d2cb
Autor:
Guohao Wu, Haomin Li, Junqiang Li, Mubiao Chen, Lishan Xie, Huilan Luo, Zhihui Chen, Dongming Ye, Caiyong Lai
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
A 47-year-old man presented to the emergency department with right abdominal pain and a new onset of painless haematuria two weeks earlier. Urine cytology test results suggested urothelial carcinoma. Computed tomography urography (CTU) showed a filli
Externí odkaz:
https://doaj.org/article/ad5a3ceaf99448e6bd8c5c9b1eb7def9
Autor:
Huilan LUO, Kang TONG
Publikováno v:
Tongxin xuebao, Vol 40, Pp 189-198 (2019)
Aiming at the shortcomings of shallow networks and general deep models in two-stream network structure,which could not effectively learn spatial and temporal information,a squeeze-and-excitation residual network was proposed for action recognition wi
Externí odkaz:
https://doaj.org/article/0a09df86e24d4fdf9f4f667ce3db9c29
Publikováno v:
Tongxin xuebao, Vol 39, Pp 169-180 (2018)
Behavior recognition is developing rapidly,and a number of behavior recognition algorithms based on deep network automatic learning features have been proposed.The deep learning method requires a large number of data to train,and requires higher comp
Externí odkaz:
https://doaj.org/article/c266992f2a02403d8f1475292337b899
Autor:
Haitao Zhang, Meng Chai, Chaozhong Liu, Jinjin Sun, Congchun Huang, Xinya Yu, Yi Tian, Huilan Luo
Publikováno v:
PLoS ONE, Vol 10, Iss 7, p e0132654 (2015)
This study aimed to investigate the effects of myocardial injury in a minimally-invasive miniature swine model with different levels of coronary artery stenosis (CAS) and exposed to maximal tolerated +Gz. Proximal left anterior descending branch was
Externí odkaz:
https://doaj.org/article/b716513ee71a438e853d10b7d84e133b
Publikováno v:
In Expert Systems With Applications 15 July 2024 246
Publikováno v:
Computational Intelligence and Neuroscience. 2022:1-9
To estimate the accurate depth from a single image, we proposed a novel and effective depth estimation architecture to solve the problem of missing and blurred contours of small objects in the depth map. The architecture consists of Extremely Effecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0ea463d3e17a12dcbdb37338392ec47
https://doi.org/10.1155/2022/4668001
https://doi.org/10.1155/2022/4668001