Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Ji-jiang Yang"'
Autor:
Jianqiang Li, Chujie Zhu, Mingming Zhao, Xi Xu, Linna Zhao, Wenxiu Cheng, Suqin Liu, Jingchen Zou, Ji-Jiang Yang, Jian Yin
Publikováno v:
Bioengineering, Vol 11, Iss 6, p 595 (2024)
This paper presents an eye image segmentation-based computer-aided system for automatic diagnosis of ocular myasthenia gravis (OMG), called OMGMed. It provides great potential to effectively liberate the diagnostic efficiency of expert doctors (the s
Externí odkaz:
https://doaj.org/article/1cee1d4d4955490db65ae57d28295332
Publikováno v:
IEEE Access, Vol 7, Pp 114862-114887 (2019)
The blood vessels are the primary anatomical structure that can be visible in retinal images. The segmentation of retinal blood vessels has been accepted worldwide for the diagnosis of both cardiovascular (CVD) and retinal diseases. Thus, it requires
Externí odkaz:
https://doaj.org/article/30da5be3424c49d8ad2e4c4df7ceaf3e
Publikováno v:
IEEE Access, Vol 5, Pp 35-49 (2017)
Collaborative filtering is now successfully applied to recommender systems. The availability of extensive personal data is necessary for generating high quality recommendations. However, traditional collaborative filtering methods suffer from sparse
Externí odkaz:
https://doaj.org/article/c583c7e333b041daae226adba0f03d81
Publikováno v:
Stem Cells International, Vol 2019 (2019)
Dental pulp stem cells (DPSCs) have the property of self-renewal and multidirectional differentiation so that they have the potential for future regenerative therapy of various diseases. The latest breakthrough in the biology of stem cells and the de
Externí odkaz:
https://doaj.org/article/f5f7aa274ef04111a2cb3691b23f9163
Publikováno v:
Tsinghua Science and Technology. 26:749-758
The current mode of clinical aided diagnosis of Ocular Myasthenia Gravis (OMG) is time-consuming and laborious, and it lacks quantitative standards. An aided diagnostic system for OMG is proposed to solve this problem. The values calculated by the sy
Publikováno v:
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC).
Autor:
Zhi-Heng Cui, Qin-Yan Zhang, Jing-Wei Zhang, Xue Sun, Qing Wang, Yi Lei, Lin Zang, Li Zhao, Ji-Jiang Yang
Publikováno v:
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC).
Autor:
Jia-Liang Tian, Qin-Yan Zhang, Hai-Zhen Li, Qing Wang, Yi Lei, Lin Zang, Xue-Mei Gao, Ji-Jiang Yang
Publikováno v:
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC).
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 8:691-698
Cataract is the most prevalent cause of blindness worldwide, which accounts for more than 51% of overall blindness. The early detection of cataract can salvage impaired vision leading to blindness....
Autor:
Qing Wang, Jianqiang Li, Shirui Wang, Huijuan Zhu, Shi Chen, Shubin Lei, Ji-Jiang Yang, Hui Pan, Yuelun Zhang
Publikováno v:
European Journal of Endocrinology. 183:41-49
Objective Automatic diabetic retinopathy screening system based on neural networks has been used to detect diabetic retinopathy (DR). However, there is no quantitative synthesis of performance of these methods. We aimed to estimate the sensitivity an