Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Xiangping Zhong"'
Autor:
Yue Tang, Xiangping Zhong, Tingting Lin, Fujun Zuo, Min Fu, Li Wang, Xiaodu Yu, Dong Liu, Jincan Zhang
Publikováno v:
Frontiers in Surgery, Vol 11 (2024)
ObjectiveAcute aneurysmal rupture can be treated with endovascular therapy or surgical clipping. For patients with concurrent acute hydrocephalus, the placement of an external ventricular drainage (EVD) is required. This study aims to investigate the
Externí odkaz:
https://doaj.org/article/fb21330b56c4490c97f29265d1c26a1a
Publikováno v:
Sensors, Vol 23, Iss 13, p 5981 (2023)
With the maturity of Unmanned Aerial Vehicle (UAV) technology and the development of Industrial Internet of Things, drones have become an indispensable part of intelligent transportation systems. Due to the absence of an effective identification sche
Externí odkaz:
https://doaj.org/article/372e30443b8847c29e593601065d7dbf
Publikováno v:
IEEE Access, Vol 8, Pp 143076-143084 (2020)
Human pose estimation from a monocular image has attracted lots of interest due to its huge potential application in many areas. The performance of 2D human pose estimation has been improved a lot with the emergence of deep convolutional neural netwo
Externí odkaz:
https://doaj.org/article/f804f5a732944fbb9d5906ce16ed00fa
Publikováno v:
Journal of Neurosurgery: Case Lessons. 3
BACKGROUND There is a certain incidence of pituitary adenomas coexisting with intracranial aneurysms, but a concurrent therapeutic strategy of tumor removal and aneurysm clipping via endoscopic endonasal approach is rarely reported. The indications a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02efa77d23cb3bfb18db2d3e01e7a7f7
https://doi.org/10.3171/case22130
https://doi.org/10.3171/case22130
Publikováno v:
IEEE Access, Vol 8, Pp 143076-143084 (2020)
Human pose estimation from a monocular image has attracted lots of interest due to its huge potential application in many areas. The performance of 2D human pose estimation has been improved a lot with the emergence of deep convolutional neural netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fdccfd9c69a200adc513ea1e2acc71b
https://doi.org/10.1109/access.2020.3013917
https://doi.org/10.1109/access.2020.3013917