Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Wei-hua Yang"'
Publikováno v:
International Journal of Ophthalmology, Vol 17, Iss 7, Pp 1193-1204 (2024)
AIM: To address the challenges of data labeling difficulties, data privacy, and necessary large amount of labeled data for deep learning methods in diabetic retinopathy (DR) identification, the aim of this study is to develop a source-free domain ada
Externí odkaz:
https://doaj.org/article/f3915f9c74ca46018587032a28bb4265
Autor:
Xiao-Yan Wang, Hong-Wei Deng, Jian Yang, Xue-Mei Zhu, Feng-Ling Xiang, Jing Tu, Ming-Xue Huang, Yun Wang, Jin-Hua Gan, Wei-Hua Yang
Publikováno v:
International Journal of Ophthalmology, Vol 17, Iss 6, Pp 1128-1137 (2024)
AIM: To figure out whether various atropine dosages may slow the progression of myopia in Chinese kids and teenagers and to determine the optimal atropine concentration for effectively slowing the progression of myopia. METHODS: A systematic search w
Externí odkaz:
https://doaj.org/article/6ef2f89070944d2691429848dbf390c0
Publikováno v:
International Journal of Ophthalmology, Vol 17, Iss 5, Pp 940-950 (2024)
AIM: To gain insights into the global research hotspots and trends of myopia. METHODS: Articles were downloaded from January 1, 2013 to December 31, 2022 from the Science Core Database website and were mainly statistically analyzed by bibliometrics s
Externí odkaz:
https://doaj.org/article/10213df0b92942bc862db4896f262058
Publikováno v:
International Journal of Ophthalmology, Vol 17, Iss 1, Pp 1-6 (2024)
AIM: To develop an artificial intelligence (AI) diagnosis model based on deep learning (DL) algorithm to diagnose different types of retinal vein occlusion (RVO) by recognizing color fundus photographs (CFPs). METHODS: Totally 914 CFPs of healthy peo
Externí odkaz:
https://doaj.org/article/35547e26f8d3457daa1221be1b7726a3
Publikováno v:
Medicine in Novel Technology and Devices, Vol 21, Iss , Pp 100267- (2024)
This work provides a new multimodal fusion generative adversarial net (GAN) model, Multiple Conditions Transform W-net (MCSTransWnet), which primarily uses femtosecond laser arcuate keratotomy surgical parameters and preoperative corneal topography t
Externí odkaz:
https://doaj.org/article/329a1ff336be46568290a59e328a7728
Publikováno v:
Guoji Yanke Zazhi, Vol 23, Iss 11, Pp 1803-1810 (2023)
AIM: To analyze research hotspots and trends of artificial intelligence in diabetic retinopathy(DR)based on bibliometrics and high-impact papers.METHODS: Papers on artificial intelligence in DR research published in the Web of Science Core Collection
Externí odkaz:
https://doaj.org/article/85eec9d8588245a7a6be972e3236ecb3
Publikováno v:
Guoji Yanke Zazhi, Vol 23, Iss 11, Pp 1907-1910 (2023)
Myopia is one of the main causes of visual impairment. In recent years, the incidence of myopia has been increasing. Effective prevention and control of myopia is essential for maintaining patients' visual function and quality of life. With the conti
Externí odkaz:
https://doaj.org/article/5467a90dce0b44df818948dd4c7ad1de
Autor:
Bang Chen, Xin-Wen Fang, Mao-Nian Wu, Shao-Jun Zhu, Bo Zheng, Bang-Quan Liu, Tao Wu, Xiang-Qian Hong, Jian-Tao Wang, Wei-Hua Yang
Publikováno v:
International Journal of Ophthalmology, Vol 16, Iss 9, Pp 1386-1394 (2023)
Pterygium is a prevalent ocular disease that can cause discomfort and vision impairment. Early and accurate diagnosis is essential for effective management. Recently, artificial intelligence (AI) has shown promising potential in assisting clinicians
Externí odkaz:
https://doaj.org/article/3053296b6f27446d852819bf4eb52b64
Publikováno v:
International Journal of Ophthalmology, Vol 16, Iss 9, Pp 1417-1423 (2023)
AIM: To evaluate the clinical application value of the artificial intelligence assisted pathologic myopia (PM-AI) diagnosis model based on deep learning. METHODS: A total of 1156 readable color fundus photographs were collected and annotated based on
Externí odkaz:
https://doaj.org/article/3b5bc221150f49409cec33137becf62f
Publikováno v:
International Journal of Ophthalmology, Vol 16, Iss 9, Pp 1406-1416 (2023)
With the rapid development of computer technology, the application of artificial intelligence (AI) to ophthalmology has gained prominence in modern medicine. As modern optometry is closely related to ophthalmology, AI research on optometry has also i
Externí odkaz:
https://doaj.org/article/b420c2cca7dd4b7294694afb5029f903