Results 41 to 50 of about 1,731,496 (148)
Laboratory implementation of edge illumination X-ray phase-contrast imaging with energy-resolved detectors [PDF]
Edge illumination (EI) X-ray phase-contrast imaging (XPCI) has potential for applications in different fields of research, including materials science, non-destructive industrial testing, small-animal imaging, and medical imaging.
A. Olivo +41 more
core +1 more source
ABSTRACT Aims The potential benefit of integrating continuous glucose monitoring (CGM) data with conventional glycaemic indicators in diabetes care remains to be determined. This study aimed to investigate the association between 1,5‐anhydroglucitol (1,5‐AG), a 1–2 weeks glycaemic marker with monitoring duration comparable to CGM, and diabetic ...
Hang Su +8 more
wiley +1 more source
Optic Nerve Head Parameters in a Turkish Population Over Forty Years of Age
Objectives: To evaluate the optic disc area and cup area in a normal population over 40 years of age. Materials and Methods: This prospective study was performed in Eskişehir.
Leyla Niyaz +2 more
doaj +1 more source
Introduction Bardet–Biedl syndrome (BBS) is a rare autosomal recessive ciliopathy with at least 26 identified causative genes. BBS7 accounts for approximately 1.5% of cases. The syndrome is characterized by retinal degeneration, obesity, polydactyly, intellectual disability, and renal anomalies.
Ibrahim Taha +9 more
wiley +1 more source
Diabetic retinopathy (DR) with media opacity presents a diagnostic challenge for retinal evaluation. This study investigated whether conjunctival microvascular assessment using swept‐source optical coherence tomography angiography (SS‐OCTA) can serve as a potential indicator of retinal pathology.
Xiaoli Huang +5 more
wiley +1 more source
Purpose : To compare nonmydriatic handheld retinal imaging with ETDRS standard 7-field 300 fundus photographs (ETDRS photos) for assessment of DR and DME severity.Methods : Following a standard imaging protocol, nonmydriatic retinal images were taken ...
Viguilla Saunar, Aileen +9 more
core +3 more sources
Medical imaging analysis with artificial neural networks [PDF]
Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection ...
Jiang, J., Ren, Jinchang, Trundle, P.
core +2 more sources
Fundus Autofluorescence Imaging in an Ocular Screening Program
Purpose. To describe integration of fundus autofluorescence (FAF) imaging into an ocular screening program. Methods. Fifty consecutive screening participants were included in this prospective pilot imaging study. Color and FAF (530/640 nm exciter/barrier
A. M. Kolomeyer +3 more
doaj +1 more source
Background The evidence on diagnostic test accuracy (DTA) of diabetic retinopathy (DR) screening utilising photographic studies by non-ophthalmologist personnel in low and middle-income country (LMIC) settings is scarce.
Mapa Mudiyanselage Prabhath Nishantha Piyasena +4 more
doaj +1 more source
Multimodal Deep Learning for Diabetic Retinopathy: A Survey
Diabetic retinopathy (DR) remains a leading cause of blindness globally, driving the rapid development of automated diagnostic systems leveraging deep learning. Recent research demonstrates that multimodal deep learning models that integrate retinal images, electronic health records (EHR), and clinical text data can surpass single‐modality approaches ...
Genyan Qin +6 more
wiley +1 more source

