Deep learning architectures have been widely used in recent years for image recognition tasks. In this paper, we aim to detect human eye infections of Glaucoma disease by firstly using different machine learning (ML) classifiers such as Support Vector Machine (SVM), K-Nearest Neighbors (KNN), ...
of which half of them had eye diseases. In 16 of 20 children with eye disease, CRADLE managed to detect leukocoria from photos taken about 1.3 years before the child got diagnosed by a doctor. Impressive, isn’t it?
Machine learning Deep Learning Eye-blink detection 1. Introduction The advancement of technology should allow individuals with severe disabilities to use a computer through human–computer interfaces (Królak & Strumiłło, 2012). One such disability is Locked-in Syndrome (LiS), defined in 1986 as...
Diabetic retinopathy and cardiovascular disease in type II diabetics. The Framingham Heart Study and the Framingham Eye Study. Data from the Framingham Heart Study and the Framingham Eye Study were used to examine the association between diabetic retinopathy and the occurrence of c... Hiller,R D,...
A novel machine learning approach generated severity estimates that correlated well with the clinician scores. We demonstrate the feasibility of capturing eye movement information using an inexpensive and widely accessible technology. This may be a useful approach for disease screening and for measuring ...
OCT has become increasingly important in disease detection, prognostication, and surveillance in AMD patients, especially those with wet AMD requiring anti-vascular endothelial growth factor (anti-VEGF). A ML method was proposed to predict the need for anti-VEGF treatment based on OCT scans taken ...
AI has improved the performance of many challenging tasks in medical imaging, such as diagnosis of cutaneous malignancies using skin photographs [8], detection of lung cancer using chest images [9], prediction of cardiovascular disease risk using computer tomographic (CT) [10], detection of pulmona...
D.The detection of children’s learning disability in math. 免费查看参考答案及解析 题目: [高三英语上半年高考模拟] Making eye contact with a robot can be a very strange experience. Scientists even have a name for the feeling: the “uncanny valley”. Now, researchers at the Istituto Italiano...
there is some controversy surrounding their potential as an indicator of CNS disease. The key limitation is in our lack of understanding of the disease-specific characteristics of HRF. Employing machine learning has the potential to overcome this and allow disease-specific detection with this marker ...
Evaluating the impact of smoking on the risk of dry eye disease: a two-sample Mendelian randomization study Kuiliang Yang ,Han Zhang &Yanning Yang Article 30 December 2024|Open Access Prevalence of cataracts in Iran based on the Persian eye cohort study ...