Category: 2021, No. 09

Evaluation of low-quality fundus image enhancement based on cycle-constraint adversarial network

Authors: Zhou Xueting,  Yang Weihua,  Hua Xiao,  You Qijing,  Sun Jing,  Shen Jianxin,  Wan Cheng DOI: 10.3760/cma.j.cn115989-20201028-00718 Published 2021-09-10 Cite asChin J Exp Ophthalmol, 2021, 39(9): 769-775. Abstract Objective To propose and evaluate the cycle-constraint adversarial network (CycleGAN) for enhancing the low-quality fundus images such as the blurred, underexposed and overexposed etc. Methods A dataset […]

Regulatory effect of edaravone on the photoreceptor autophagy at the early stage of experimental retinal detachment in rats

Authors: Kang Ziwei,  Ren Xiuyu,  Zhang Yanchun,  Pei Cheng,  Zhang Nana,  Xia Yimin,  Yang Jingru DOI: 10.3760/cma.j.cn115989-20200228-00123 Published 2021-09-10 Cite asChin J Exp Ophthalmol, 2021, 39(9): 776-784. Abstract Objective To investigate the effect of edaravone, a free radical scavenger, on the regulation of retinal autophagy and the protection of photoreceptor cells at the early stage […]

Evaluation of multi-classification method of color fundus photograph quality based on ResNet50-OC

Authors: Wan Cheng,  Zhou Xueting,  You Qijing,  Shen Jianxin,  Yu Qiuli DOI: 10.3760/cma.j.cn115989-20200107-00011 Published 2021-09-10 Cite asChin J Exp Ophthalmol, 2021, 39(9): 785-790. Abstract Objective To evaluate the efficiency of ResNet50-OC model based on deep learning for multiple classification of color fundus photographs. Methods The proprietary dataset (PD) collected in July 2018 in BenQ Hospital […]

Evaluation of an aided diagnosis system for vitreous and retinal diseases by analyzing B-scan ultrasound images based on deep convolutional neural network

Authors: Yu Yi,  Zhou Yiwen,  Chen Di,  Hu Shan,  Yang Yanning DOI: 10.3760/cma.j.cn115989-20210114-00037 Published 2021-09-10 Cite asChin J Exp Ophthalmol, 2021, 39(9): 792-797. Abstract Objective To explore the clinical value of a diagnostic system of ophthalmic B-scan ultrasound images based on deep convolutional neural network. Methods A total of 3 600 ophthalmic B-scan ultrasound images […]

Development and clinical evaluation of intelligent vision examination and management system based on mobile terminal

Authors: Xiang Yifan,  Chen Jingjing,  Hu Weiling,  Xu Fabao,  Lin Haotian DOI: 10.3760/cma.j.cn115989-20200522-00367 Published 2021-09-10 Cite asChin J Exp Ophthalmol, 2021, 39(9): 798-802. Abstract Objective To develop an intelligent vision examination and management system based on mobile terminal, and evaluate its practical application. Methods A diagnostic test study was adopted.Fifty children and adolescents (100 eyes) […]

Risk factors of postoperative vitreous hemorrhage after pars plana vitrectomy for proliferative diabetic retinopathy

Authors: Fan Xiaoe,  Ke Yifeng,  Ren Xinjun,  Li Xiaorong DOI: 10.3760/cma.j.cn115989-20200307-00150 Published 2021-09-10 Cite asChin J Exp Ophthalmol, 2021, 39(9): 803-810. Abstract Objective To investigate the risk factors of postoperative vitreous hemorrhage (PVH) after vitrectomy for proliferative diabetic retinopathy (PDR). Methods A case-control study was conducted.A total of 1 848 consecutive PDR patients (1 848 […]

Impact of artificial intelligence-assisted community-based screening for senile glaucoma on health expenses and medical insurance expenditures in rural areas: health economic evidence from Changjiang Li autonomous county, Hainan province

Authors: Xiao Xuan,  He Yunzhen,  Chen Ningjiang DOI: 10.3760/cma.j.cn115989-20191122-00507 Published 2021-09-10 Cite asChin J Exp Ophthalmol, 2021, 39(9): 811-820. Abstract Objective To predict the financial impact of artificial intelligence (AI)-assisted community-based screening for primary angle-closure glaucoma (PACG) among the elderly on health expenses and medical insurance expenditures in remote areas of China. Methods A total […]

Application of artificial intelligence technologies in ocular anterior segment diseases diagnosis and myopia management

Authors: Zhou Yiwen,  Yang Yanning DOI: 10.3760/cma.j.cn115989-20201014-00692 Published 2021-09-10 Cite asChin J Exp Ophthalmol, 2021, 39(9): 821-826. Abstract With the improvement of computing power, the refinement of learning algorithms and architectures and the disclosure of big data, many achievements pertaining to artificial intelligence (AI) have been achieved in the field of medicine.In the field of […]

Current status and directions of vision rehabilitation in glaucoma

Authors: Huang Haishun,  Li Yiqing,  Zhuo Yehong DOI: 10.3760/cma.j.cn115989-20200119-00783 Published 2021-09-10 Cite asChin J Exp Ophthalmol, 2021, 39(9): 827-831. Abstract Glaucoma, the leading cause of irreversible visual impairment in the world, leads to visual function damage that seriously affects the daily life activities and psychosocial function of patients, resulting in a significant decline in the […]

New diagnosis and treatment pattern for cataract based on artificial intelligence

Authors: Wang Ting,  Wang Ruixin,  Lin Haotian DOI: 10.3760/cma.j.cn115989-20200608-00405 Published 2021-09-10 Cite asChin J Exp Ophthalmol, 2021, 39(9): 832-836. Abstract With the increase in the aging of the global population, the prevalence of cataract has increased gradually, and cataract has become a significant cause of blindness and visual impairment in China and even in the […]