Results 61 to 70 of about 83,999 (309)

Microperimetry and OCT angiography evaluation of patients with ischemic diabetic macular edema treated with monthly intravitreal bevacizumab: a pilot study

open access: yesInternational Journal of Retina and Vitreous, 2019
Background Functional and anatomical evaluation of patients with ischemic diabetic macular edema after monthly injections of Bevacizumab. Methods Five eyes from five patients with diabetic macular edema associated with macular ischemia in fluorescein ...
Felipe Pereira   +3 more
doaj   +1 more source

Relationship between diabetic macular edema and choroidal layer thickness

open access: yesPLoS ONE, 2020
Purpose To investigate the relationship between diabetic macular edema (DME) and the choroidal layer thickness in diabetic patients. Methods This is a retrospective observation study. Three hundred eighteen eyes of 159 diabetes mellitus (DM) patients and
H. Endo   +8 more
semanticscholar   +1 more source

EFFECT OF ANTI-VEGF THERAPY ON THE STRUCTURAL STATE OF THE RETINA IN DIABETIC MACULAR EDEMA

open access: yesActa Biomedica Scientifica, 2016
Objective: to analyze the structural state of the central area of the retina in diabetic macular edema in the background anti-VEGF therapy. Methods. The study included 38 patients (40 eyes) with diabetic macular edema.
M. M. Bikbov   +2 more
doaj   +1 more source

Micro-implant d'acétonide de fluocinolone (ILUVIEN(®)) pour l'oedème maculaire diabétique chronique [Fluocinolone acetonide (ILUVIEN®) micro-implant for chronic diabetic macular edema]. [PDF]

open access: yes, 2015
Diabetic macular edema (DME) is a frequent complication of diabetic retinopathy and may cause severe visual loss. In this article, we examine the pathophysiology of DME and review various treatment options, such as laser photocoagulation, anti-vascular ...
Behar-Cohen, F., Soubrane, G.
core   +1 more source

DETECTION OF MORPHOLOGIC PATTERNS OF DIABETIC MACULAR EDEMA USING A DEEP LEARNING APPROACH BASED ON OPTICAL COHERENCE TOMOGRAPHY IMAGES

open access: yesRetina, 2020
An image-based deep learning model was developed to detect different morphological patterns of diabetic macular edema based on optical coherence tomography images with high accuracy and transparency.
Qiaowei Wu   +16 more
semanticscholar   +1 more source

Magnetically Controllable and Degradable Milliscale Swimmers as Intraocular Drug Implants

open access: yesAdvanced Science, EarlyView.
Magnetically controllable degradable milliscale swimmers (MDMS) offer a promising alternative to commercial intraocular drug implants, reducing complications like implant dislocation and uncontrolled drug release. MDMS achieve high velocities in ocular environments, enable real‐time imaging, and deliver drugs effectively without disrupting retinal ...
Erdost Yildiz   +8 more
wiley   +1 more source

Effect of Adding Oral Calcium Dobesilate to Laser Photocoagulation on the Macular Thickness in Patients with Diabetic Macular Edema: A Randomized Clinical Trial [PDF]

open access: yesAdvanced Pharmaceutical Bulletin, 2014
Purpose: To evaluate the effect of oral calcium dobesilate (Doxium) on macular thickness in clinically significant macular edema (CSME). Methods: Overall, 71 eyes of 40 patients with non-proliferative diabetic retinopathy and clinically significant ...
Mostafa Feghhi   +3 more
doaj   +1 more source

Distinctive Mechanisms and Patterns of Exudative Versus Tractional Intraretinal Cystoid Spaces as Seen With Multimodal Imaging. [PDF]

open access: yes, 2020
PurposeTo determine clear-cut distinctions between tractional and exudative intraretinal cystoid spaces subtypes.DesignRetrospective, multicenter, observational case series.MethodsA cohort of patients diagnosed with intraretinal cystoid spaces and imaged
Au, Adrian   +9 more
core  

Assessing Large Multimodal Models for One‐Shot Learning and Interpretability in Biomedical Image Classification

open access: yesAdvanced Intelligent Systems, EarlyView.
Image classification plays a pivotal role in biomedical image analysis. Herein, it is shown that large multimodal models, such as GPT‐4, achieve superior performance in one‐shot learning, generalization, interpretability, and text‐driven image classification. Applications span tissue, cell type, cellular state, and disease classification, outperforming
Wenpin Hou   +4 more
wiley   +1 more source

Multi‐Disease Detection in Retinal Imaging Using VNet with Image Processing Methods for Data Generation

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a data augmentation method that expands an ophthalmology dataset by 12x, enhancing robustness and reducing overfitting. A novel VNet architecture improves accuracy by 10% over the original dataset and 5% over Grand Challenge benchmarks.
Samad Azimi Abriz   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy