Results 31 to 40 of about 542,328 (149)

Cross-Camera External Validation for Artificial Intelligence Software in Diagnosis of Diabetic Retinopathy

Journal of Diabetes Research, 2022
Aims. To investigate the applicability of deep learning image assessment software VeriSee DR to different color fundus cameras for the screening of diabetic retinopathy (DR). Methods.
Meng-Ju Tsai, Yi-Ting Hsieh, Chin-Han Tsai, Mingke Chen, An-Tsz Hsieh, Chung-Wen Tsai, Min-Ling Chen   +6 more
doaj   +1 more source

Smart phone fundus photography versus fundus photography using conventional fundus camera [PDF]

Al-Azhar International Medical Journal
Background: Fundus photography is the standard method for documenting ocular fundus findings. The introduction of smartphone-based retinal imaging represents a major turning point in eye examination.
Magdi Tawakoul, Wajdy Ibrahim Abdullah, Ahmed Amin   +2 more
doaj   +1 more source

Comparison of Angiography Performance of Low-cost portable Fundus camera with standard FFA camera – Validation Study

Delhi Journal of Ophthalmology, 2020
Study Design: In an observational cross-sectional study, 91 eyes of 46 consecutive patients underwent simultaneous Fundus Fluorescein Angiography (FFA) for common retinal disorders.
Deependra Vikram Singh, Gaurav Mathur, Rishi Bhardwaj, Ajay Sharma   +3 more
doaj   +1 more source

A comparison between a white LED confocal imaging system and a conventional flash fundus camera using chromaticity analysis

BMC Ophthalmology, 2019
Background Conventional flash fundus cameras capture color images that are oversaturated in the red channel and washed out in the green and blue channels, resulting in a retinal picture that often looks flat and reddish.
Valentina Sarao, Daniele Veritti, Enrico Borrelli, Srini Vas R. Sadda, Enea Poletti, Paolo Lanzetta   +5 more
doaj   +1 more source

Prevalence and associated factors of diabetic retinopathy among people with diabetes screened using fundus photography at a community diabetic retinopathy screening program in Nepal

BMC Ophthalmology, 2023
Background This study aimed to assess the prevalence and associated factors of diabetic retinopathy (DR) and vision threatening DR (VTDR) among people with diabetes screened using fundus photography in Nepal.
Raba Thapa, Sanjita Sharma, Eli Pradhan, Sushma Duwal, Manish Poudel, Krishna Gopal Shrestha, Govinda Prasad Paudyal   +6 more
doaj   +1 more source

Validating automated eye disease screening AI algorithm in community and in-hospital scenarios

Frontiers in Public Health, 2022
Purpose:To assess the accuracy and robustness of the AI algorithm for detecting referable diabetic retinopathy (RDR), referable macular diseases (RMD), and glaucoma suspect (GCS) from fundus images in community and in-hospital screening scenarios ...
Ruoan Han, Gangwei Cheng, Bilei Zhang, Jingyuan Yang, Mingzhen Yuan, Dalu Yang, Junde Wu, Junwei Liu, Chan Zhao, Youxin Chen, Yanwu Xu   +10 more
doaj   +1 more source

Smartphone fundus photography: a narrative review

International Journal of Retina and Vitreous, 2021
Background The idea to use smartphone for fundus photography was put forward in 2010. Over the last decade, there has been a dramatic development in this field.
Usama Iqbal
doaj   +1 more source

Initial experience with DIYretCAM – A do it yourself retinal camera

Kerala Journal of Ophthalmology, 2016
Smartphone based fundus photography may have a role in teleophthalmology. In this article, we discuss our initial experience with DIYretCAM, a do it yourself smartphone retinal camera attachment, that is a cost-effective alternative to conventional ...
Biju Raju, NSD Raju
doaj   +1 more source

Virtual-reality headset mounted smartphone-based Indentation fundus videography

Taiwan Journal of Ophthalmology, 2022
To describe a simple and novel technique that overcomes the limitation of smartphone-based fundus photography and allows examiners to capture peripheral retinal images with indentation. Smartphone with video camera in flash-on mode was mounted on virtual-
Deependra Vikram Singh, Sandhya Gaur, Raja Rami Reddy, Ajay Sharma, Yog Raj Sharma   +4 more
doaj   +1 more source

Validation of using smartphone based non-mydriatic camera for retinal photography to diagnose diabetic retinopathy

Kerala Journal of Ophthalmology
Purpose: To assess the sensitivity and specificity of retinal imaging captured by portable non-mydriatic ‘fundus on phone’ camera as a screening tool against the conventional seven field digital fundus photography.
Ravindra Banakar, R Suresha Anepla, Yogaasri Pushparaj, Kunal Prakashchandra Bhatt   +3 more
doaj   +1 more source