Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Xiaogang Ren"'
Publikováno v:
IEEE Access, Vol 7, Pp 170012-170018 (2019)
Three-dimensional reconstruction of abdominal aortic aneurysm is the key technology to improve the success rate of surgical and reduce complications. However, the outer contour of abdominal aortic aneurysm(AAA)is fuzzy, which make it difficult for re
Externí odkaz:
https://doaj.org/article/a5d20a9c6c8d48598d757f80b4268cad
Publikováno v:
2023 7th International Conference on Control Engineering and Artificial Intelligence.
Publikováno v:
2022 8th International Conference on Big Data and Information Analytics (BigDIA).
Publikováno v:
Journal of Grid Computing. 20
Although the current vehicle detection and recognition framework based on deep learning has its own characteristics and advantages, it is difficult to effectively combine multi-scale and multi category vehicle features, and there is still room for im
Publikováno v:
Journal of Medical Imaging and Health Informatics. 10:1570-1574
To explore the clinical features and endosonographic (EUS) features of gastric submucosal tumors, the connection of submucosal tumor features and pathological features are analyzed to increase the awareness of submucosal tumors. This study is based o
Autor:
Xiaogang Ren, Chunyang Xu, Yufeng Feng, Feng Xu, Peng Yang, Jia Fan, Bo Min, Yaoliang Shen, Wenjun Zhou, Hongwei Ye
Publikováno v:
Journal of Medical Imaging and Health Informatics. 9:1844-1848
Publikováno v:
IEEE Access, Vol 7, Pp 170012-170018 (2019)
Three-dimensional reconstruction of abdominal aortic aneurysm is the key technology to improve the success rate of surgical and reduce complications. However, the outer contour of abdominal aortic aneurysm(AAA)is fuzzy, which make it difficult for re
Publikováno v:
Digital Communications and Networks.
Repetitive medical examinations often occur when patients transfer hospitals in the process of illness diagnoses, which not only lead to excessive medical expenses, but also affect people's lives. Considering this problem, this paper aims to provide
Publikováno v:
Journal of Healthcare Engineering, Vol 2021 (2021)
Journal of Healthcare Engineering
Journal of Healthcare Engineering
Since the hippocampus is of small size, low contrast, and irregular shape, a novel hippocampus segmentation method based on subspace patch-sparsity clustering in brain MRI is proposed to improve the segmentation accuracy, which requires that the repr
Publikováno v:
Journal of Healthcare Engineering, Vol 2021 (2021)
Journal of Healthcare Engineering
Journal of Healthcare Engineering
This paper presents an in-depth study and analysis of the 3D arterial centerline in spiral CT coronary angiography, and constructs its detection and extraction technique. The first time, the distance transform is used to complete the boundary search