Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Saiguang Ling"'
Autor:
Tianyi Yuan, Senlin Lin, Yi Xu, Lina Lu, Minna Cheng, Yuheng Wang, Qinping Yang, Saiguang Ling, Dengji Zhou, Yan Shi, Haidong Zou, Yingyan Ma
Publikováno v:
Diabetology & Metabolic Syndrome, Vol 16, Iss 1, Pp 1-10 (2024)
Abstract Aim To investigate the associations between insulin use and diabetic retinopathy (DR), and retinal vascular parameters in type 2 diabetes (T2DM). Methods A total of 6,374 T2DM patients, consisting of 2,231 patients receiving insulin alone an
Externí odkaz:
https://doaj.org/article/767f4ac962184a308dda127f338c301e
Autor:
Shuli Chen, Yi Xu, Bo Chen, Senlin Lin, Lina Lu, Minna Cheng, Yuheng Wang, Qinping Yang, Saiguang Ling, Dengji Zhou, Yan Shi, Haidong Zou, Yingyan Ma
Publikováno v:
Lipids in Health and Disease, Vol 23, Iss 1, Pp 1-10 (2024)
Abstract Background The association between remnant cholesterol (RC) and diabetic retinopathy (DR) in type 2 diabetes mellitus (T2DM) remains unclear. Morphological changes in retinal vessels have been reported to predict vascular complications of di
Externí odkaz:
https://doaj.org/article/e0d92dddf4c84b258f0e8e5d7945b412
Autor:
Dan Huang, Yingxiao Qian, Qi Yan, Saiguang Ling, Zhou Dong, Xin Ke, Haohai Tong, Tengfei Long, Rui Li, Hu Liu, Hui Zhu
Publikováno v:
Ophthalmology and Therapy, Vol 12, Iss 5, Pp 2671-2685 (2023)
Abstract Introduction To investigate the prevalence of fundus tessellation (FT), and the threshold for screening FT using an artificial intelligence (AI) technology in Chinese children. Methods The Nanjing Eye Study was a population-based cohort stud
Externí odkaz:
https://doaj.org/article/ba33a679aebe4e2c87ae9c76c9ce0789
Autor:
Qiyun Wang, Ting Li, Xinyuan Zhang, Yiyun Zeng, Yang Yang, Yun Zhou, Xinming Gu, Xiaobin Xie, Saiguang Ling
Publikováno v:
Diagnostics, Vol 14, Iss 3, p 267 (2024)
Retinal vessels have been good predictive and prognostic imaging biomarkers for systemic or eye diseases. Numerous studies have shown that the two retinal vein occlusion entities may correlate with cardiovascular and cerebrovascular events or primary
Externí odkaz:
https://doaj.org/article/462432498539497da96dc22b9ec31aae
Publikováno v:
Frontiers in Pediatrics, Vol 11 (2023)
PurposeRetinal microvasculature plays an important role in children's fundus lesions and even in their later life. However, little was known on the features of normal retina in early life. The purpose of this study was to explore the normal retinal f
Externí odkaz:
https://doaj.org/article/e47bea3cd54d43bcbd54c20d7aceb3fa
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
AimsThis study aimed to develop and validate a risk nomogram prediction model based on the retinal geometry of diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM) and to investigate its clinical application value.MethodsIn this
Externí odkaz:
https://doaj.org/article/8ed64728c43c406e90ee1590de0b290b
Autor:
Lei Shao, Xiaomei Zhang, Teng Hu, Yang Chen, Chuan Zhang, Li Dong, Saiguang Ling, Zhou Dong, Wen Da Zhou, Rui Heng Zhang, Lei Qin, Wen Bin Wei
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
PurposeTo predict the fundus tessellation (FT) severity with machine learning methods.MethodsA population-based cross-sectional study with 3,468 individuals (mean age of 64.6 ± 9.8 years) based on Beijing Eye Study 2011. Participants underwent detai
Externí odkaz:
https://doaj.org/article/2261fed437664ed289ab63114e9575de
Autor:
Tengfei Long, Yi Xu, Haidong Zou, Lina Lu, Tianyi Yuan, Zhou Dong, Jiqun Dong, Xin Ke, Saiguang Ling, Yingyan Ma
Publikováno v:
Sensors, Vol 22, Iss 21, p 8565 (2022)
Pixel pitch calibration is an essential step to make the fundus structures in the fundus image quantitatively measurable, which is important for the diagnosis and treatment of many diseases, e.g., diabetes, arteriosclerosis, hereditary optic atrophy,
Externí odkaz:
https://doaj.org/article/0bf2c774621a4f44b27c456d3ef7362d
Autor:
Yi Xu, Yongyi Wang, Bin Liu, Lin Tang, Liangqing Lv, Xin Ke, Saiguang Ling, Lina Lu, Haidong Zou
Publikováno v:
BMC Ophthalmology, Vol 19, Iss 1, Pp 1-11 (2019)
Abstract Background With the diabetes mellitus (DM) prevalence increasing annually, the human grading of retinal images to evaluate DR has posed a substantial burden worldwide. SmartEye is a recently developed fundus image processing and analysis sys
Externí odkaz:
https://doaj.org/article/77d1b99d4d5642639e8458732788c702
Autor:
Lei Shao, Xiaomei Zhang, Teng Hu, Yang Chen, Chuan Zhang, Li Dong, Saiguang Ling, Zhou Dong, Wen Da Zhou, Rui Heng Zhang, Lei Qin, Wen Bin Wei
Publikováno v:
Frontiers in medicine. 9
PurposeTo predict the fundus tessellation (FT) severity with machine learning methods.MethodsA population-based cross-sectional study with 3,468 individuals (mean age of 64.6 ± 9.8 years) based on Beijing Eye Study 2011. Participants underwent detai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fd5ec8295b75fa14c68bcaabdfc26be
https://pubmed.ncbi.nlm.nih.gov/35360710
https://pubmed.ncbi.nlm.nih.gov/35360710