Filters








2,945 Hits in 6.6 sec

The Usability and Trustworthiness of Medical Eye Images [article]

Daniel Diethei, Ashley Colley, Lisa Dannenberg, Muhammad Fawad Jawaid Malik, Johannes Schöning
2021 arXiv   pre-print
We present the design, development and evaluation of EyeGuide, a mobile app that assists users in taking medical eye images using only their smartphone camera.  ...  Eye screening apps without lens adaptors exist, but we do not know much about the experience of guiding users to take medical eye images.  ...  ACKNOWLEDGMENTS We would like to thank all participants for contributing to our studies.  ... 
arXiv:2105.12651v1 fatcat:kqrufwdlsvbnpcr3bvak2bddte

Application of Simple Imaging Equipment Based on Smartphone Camera Function in Diagnosis and Treatment of Eye Diseases in Africa

Ke Xiong, Bright Nkrumah, Yacouba Cissé
2021 International journal of medical science and health research  
The eye image data is very important in the recording of ophthalmic diseases.  ...  Now, the miniature camera of smartphones has the ability to take high-resolution photographic images.  ...  At present, the eye clinics in developed countries are equipped with various imaging equipment such as anterior segment camera, fundus imaging machines, optical coherence tomography scanner and so on.  ... 
doi:10.51505/ijmshr.2021.5510 fatcat:dupk6pkddngddjans3t7vshf3y

An Intelligent Decision Support System for Retinal Disease Diagnosis based on SVM using a Smartphone
스마트폰을 이용한 SVM 기반 망막 질병 진단을 위한 지능적인 의사 결정 지원 시스템

Byung-Kwan Lee, Eun-Hee Jeong, Yusrina Tifani
2015 The Journal of Korea Institute of Information Electronics and Communication Technology  
A microscopic lens is attached into the smartphone camera to capture the user retinal image for recognizing the user's retinal condition.  ...  The application role is to connect between the system in smartphone and system in cloud, the application will send the retinal image to the cloud system to be classified.  ...  DIARETDB1 V2.1 is used to An Intelligent Decision Support System for Retinal Disease Diagnosis based on SVM using a Smartphone 379 support the development of diabetic retinopathy detection methods  ... 
doi:10.17661/jkiiect.2015.8.5.373 fatcat:u5kwhvvgjbfwpaofplbbc744tm

Diagnostic Images of the Ocular Fundus Using a Low-Cost Portable Endoscope in Premature Patients at Risk of Developing Retinopathy of Prematurity

Luz Consuelo Zepeda-Romero, Jose Alfonso Gutierrez Padilla, Daniel Perez-Rulfo Ibarra, Jaime Orozco-Perez, Rodrigo Alonso Delgadillo, Lilia Paulina Rodríguez, Guillermo Yanowsky-Reyes
2020 Journal of Ophthalmology  
With this endoscope, video recording and fundus imaging are easily performed, for the case of patients at the risk of developing retinopathy of prematurity (ROP), facilitating timely screening in order  ...  The capture of images using a smartphone allows storing and sharing the images.  ...  In low-and middle-income countries, the prevalence of the disease varies greatly from one country to another and even from one neonatal intensive care unit to another in the same country.  ... 
doi:10.1155/2020/5864565 pmid:32587762 pmcid:PMC7301237 fatcat:zgmq5gmwsndahnzya7eljpve5q

Comparison Among Methods of Retinopathy Assessment (CAMRA) Study

Martha E. Ryan, Ramachandran Rajalakshmi, Vijayaraghavan Prathiba, Ranjit Mohan Anjana, Harish Ranjani, K.M. Venkat Narayan, Timothy W. Olsen, Viswanathan Mohan, Laura A. Ward, Michael J. Lynn, Andrew M. Hendrick
2015 Ophthalmology (Rochester, Minn.)  
Conclusions: Smartphone and nonmydriatic fundus photography are each able to detect DR and sightthreatening disease.  ...  Purpose: We compared smartphone fundus photography, nonmydriatic fundus photography, and 7-field mydriatic fundus photography for their abilities to detect and grade diabetic retinopathy (DR).  ...  Ryan, BS, had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.  ... 
doi:10.1016/j.ophtha.2015.06.011 pmid:26189190 pmcid:PMC4581972 fatcat:abbgmiev2bgc7anmuhnufy47vi

Diagnosis of Diabetic Retinopathy in Ethiopia: Before the Deep Learning based Automation [article]

Misgina Tsighe Hagos
2020 arXiv   pre-print
This is mainly because of the expensive cost of conventional retinal imaging devices used in DL based classifiers.  ...  Introducing automated Diabetic Retinopathy (DR) diagnosis into Ethiopia is still a challenging task, despite recent reports that present trained Deep Learning (DL) based DR classifiers surpassing manual  ...  The Remidio Fundus on Phone (FOP) Non-mydriatic device, which was used for experimentation in Sosale et al. (2020) , and oDocs nun (oDocs Eye Care, 2018) are some of the smartphone based fundus cameras  ... 
arXiv:2003.09208v2 fatcat:mphgqzesofg6hc74ykti234zrq

Detection of retinal abnormalities using smartphone-captured fundus images: a survey

Mohamed Akil, Yaroub Elloumi, Nasser Kehtarnavaz, Matthias F. Carlsohn
2019 Real-Time Image Processing and Deep Learning 2019  
This paper presents a survey of the Smartphonecaptured fundus image quality and the existing methods that use them for retinal structures and abnormalities detection.  ...  For this purpose, we first summarize the works that evaluate the Smartphone-captures fundus image quality and their FOV (field-of-view).  ...  Advantages of Smartphone fundus image capturing for diseases detection The ophthalmologists indicate that capturing fundus images using Smartphone offers several advantages.  ... 
doi:10.1117/12.2519094 fatcat:y65asi2yjvaofbu7mpdoccz5da

Development of a Smartphone-based Pupillometer

Tae-Hoon Kim, Jong-In Youn
2013 Journal of the Optical Society of Korea  
Both white and infrared LEDs and a 3M pixel camera of a smartphone were applied for the visual stimuli to an eye and for the acquisition of the eye images, respectively.  ...  It is believed that the approach to pupil measurement used in this study is suitable for a mobile interface, and this system can be applied to clinical research, home-use healthcare, and distributed to  ...  The user can take a picture of the eye or load an existing image from the photo library in a smartphone.  ... 
doi:10.3807/josk.2013.17.3.249 fatcat:6ex3m5ousra2dbtwc25tawda4y

Electronic Referrals and Digital Imaging Systems in Ophthalmology: A Global Perspective

V. Swetha E. Jeganathan, H. Nikki Hall, Roshini Sander
2017 Asia-Pacific Journal of Ophthalmology  
We focus particularly on the implications for management and screening of chronic disease, such as glaucoma and diabetic eye disease, and ophthalmic disease, such as retinopathy of prematurity where diagnosis  ...  The use of electronic communication systems, digital imaging, and redesigned service care models is imperative for addressing such demands.  ...  kits attached to smartphones is taking fundus photographs, so called smartphone fundoscopy. 8 This makes the technology required for diagnostically useful fundus imaging far more compact and affordable  ... 
doi:10.22608/apo.2016110 pmid:28161930 fatcat:wk2dqf5gzfbt5lgiiwizwdlvta

Clinical Application of a Smartphone-Based Ophthalmic Camera Adapter in Under-Resourced Settings in Nepal

Carmel Mercado, John Welling, Matthew Olivaq, Jack Li, Reeta Gurung, Sanduk Ruit, Geoff Tabin, David Chang, David Myung
2017 Journal of Mobile Technology in Medicine  
The purpose of this study was to explore potential anterior and posterior segment ocular imaging use cases for a smartphone-based ophthalmic camera adapter (Paxos Scope, Digisight Technologies, San Francisco  ...  We used the device at a tertiary eye care facility, a rural eye hospital and a rural cataract outreach camp.  ...  The Byers Eye Institute at Stanford acknowledges support from the Research to Prevent Blindness Foundation.  ... 
doi:10.7309/jmtm.6.3.6 pmid:33603897 pmcid:PMC7888986 fatcat:cutyejaelzbuvfcka4qhhnfgbq

The Role of Telemedicine to Alleviate an Increasingly Burdened Healthcare System: Retinopathy of Prematurity

Fares Antaki, Kenan Bachour, Tyson N. Kim, Cynthia X. Qian
2020 Ophthalmology and Therapy  
In this review, we studied the evidence on the use of RDFI-TM and analyzed the practical framework for RDFI-TM systems.  ...  RDFI-TM addresses some of the challenges faced by ophthalmologists in examining this vulnerable population in both low- and high-income countries.  ...  In parallel, smartphone-based imaging tools may be useful for screening ROP.  ... 
doi:10.1007/s40123-020-00275-5 pmid:32562242 fatcat:g3tkgszmcja43iih3cvzldn7ze

Utility and Feasibility of Teleophthalmology Using a Smartphone-Based Ophthalmic Camera in Screening Camps in Nepal

Sean Collon, David Chang, Geoffrey Tabin, Karen Hong, David Myung, Suman Thapa
2020 Asia-Pacific Journal of Ophthalmology  
To determine whether use of a mobile device-based ophthalmic camera by ophthalmic technicians (OTs) in village screening camps in Nepal followed by remote image interpretation by an ophthalmologist can  ...  The technician recorded a diagnosis for each eye and a disposition for each patient.  ...  Despite its long-heralded potential, there are few reports of actual clinical results using smartphone-based teleophthalmology in a developing country.  ... 
doi:10.1097/01.apo.0000617936.16124.ba pmid:31990747 pmcid:PMC7004467 fatcat:qfoipy7lwjfijnrascejwy7n6q

Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence

Ramachandran Rajalakshmi, Radhakrishnan Subashini, Ranjit Mohan Anjana, Viswanathan Mohan
2018 Eye (London. 1987)  
Conclusions Automated AI analysis of FOP smartphone retinal imaging has very high sensitivity for detecting DR and STDR and thus can be an initial tool for mass retinal screening in people with diabetes  ...  Objectives To assess the role of artificial intelligence (AI)-based automated software for detection of diabetic retinopathy (DR) and sight-threatening DR (STDR) by fundus photography taken using a smartphone-based  ...  Kaushal Solanki, Founder and CEO, EyeNuk Inc., Los Angeles, California and his team for doing the automated analysis and for providing the technical information about Eye Art software.  ... 
doi:10.1038/s41433-018-0064-9 pmid:29520050 pmcid:PMC5997766 fatcat:nyasua4xgffwxplwv7crxk5dk4

Smartphone-based photo analysis for the evaluation of anemia, jaundice and COVID-19

Thiago Mazzu-Nascimento, Danilo Nogueira Evangelista, Obeedu Abubakar, Amanda Soares Sousa, Leandro Cândido de Souza, Silvana Gama Florencio Chachá, Rafael Luis Luporini, Lucas Vinícius Domingues, Diego Furtado Silva, Carlos Alberto Nogueira-de-Almeida
2021 International Journal of Nutrology  
The development of techniques for non-invasive diagnosis and the use of mobile health (mHealth) is reaching more and more space.  ...  The use of smartphones, combined with machine learning techniques for image analysis (preprocessing, extraction of characteristics, classification, or regression), capable of providing predictions with  ...  Machine learning algorithms are increasingly being applied to predict and classify eye diseases using images of the eye in an automatic way. 5, 6 Also, skin diseases such as melanoma, eczema, and psoriasis  ... 
doi:10.1055/s-0041-1734014 fatcat:m4wjqr4w6fchzlrvthcsoqi5xy

Ophthalmologists on Smartphones: Image-Based Teleconsultation

Amit Mohan, Navjot Kaur, Vinod Sharma, Pradhnya Sen, Elesh Jain, Manju Gajraj
2019 British and Irish Orthoptic Journal  
All consultants (n = 10) were comfortable with the use of smartphone images and were already using it for teleconsultation at least three times in a month.  ...  However, for extraocular diseases, smartphone (6.1 ± 0.32) had significantly better image quality and images were easier to interpret compared to images on the computer (p < 0.05).Smartphones were rated  ...  subscribers in 2014 with a mobile-broadband penetration rate of 84% and 21% in developed and developing countries, respectively (Union 2014).  ... 
doi:10.22599/bioj.118 pmid:32999968 pmcid:PMC7510393 fatcat:onef2azyn5gqpkscvina45y5b4
« Previous Showing results 1 — 15 out of 2,945 results