Articles with "ultrawide field" as a keyword



Photo from wikipedia

Automatic Detection of Peripheral Retinal Lesions From Ultrawide-Field Fundus Images Using Deep Learning

Sign Up to like & get
recommendations!
Published in 2023 at "Asia-Pacific Journal of Ophthalmology"

DOI: 10.1097/apo.0000000000000599

Abstract: Purpose: To establish a multilabel-based deep learning (DL) algorithm for automatic detection and categorization of clinically significant peripheral retinal lesions using ultrawide-field fundus images. Methods: A total of 5958 ultrawide-field fundus images from 3740 patients… read more here.

Keywords: retinal lesions; fundus images; detection; field fundus ... See more keywords
Photo by marina_mv08 from unsplash

NEW BIOMARKER QUANTIFYING THE EFFECT OF ANTI-VEGF THERAPY IN EYES WITH PROLIFERATIVE DIABETIC RETINOPATHY ON ULTRAWIDE FIELD FLUORESCEIN ANGIOGRAPHY

Sign Up to like & get
recommendations!
Published in 2021 at "Retina"

DOI: 10.1097/iae.0000000000003358

Abstract: This study quantified the retinal vascular bed area (RVBA) in mm2 on ultrawide field fluorescein angiography in eyes with proliferative diabetic retinopathy receiving anti-VEGF therapy. RVBA is to be a novel biomarker that may be… read more here.

Keywords: ultrawide field; eyes proliferative; field fluorescein; fluorescein angiography ... See more keywords
Photo from wikipedia

ASSESSMENT OF FLUORESCEIN ANGIOGRAPHY NONPERFUSION IN EYES WITH DIABETIC RETINOPATHY USING ULTRAWIDE FIELD RETINAL IMAGING

Sign Up to like & get
recommendations!
Published in 2022 at "Retina"

DOI: 10.1097/iae.0000000000003479

Abstract: Supplemental Digital Content is Available in the Text. In a multicenter observational study of participants with nonproliferative diabetic retinopathy without center-involved diabetic macular edema in at least one eye, increased retinal nonperfusion was found to… read more here.

Keywords: fluorescein angiography; retinopathy; nonperfusion; diabetic retinopathy ... See more keywords
Photo by glenncarstenspeters from unsplash

Ultrawide field scanning laser ophthalmoscopy imaging of lipemia retinalis

Sign Up to like & get
recommendations!
Published in 2018 at "Acta Ophthalmologica"

DOI: 10.1111/aos.13525

Abstract: To describe the characteristic retinal features of lipemia retinalis when using ultrawide field scanning laser ophthalmoscopy. read more here.

Keywords: ultrawide field; field scanning; scanning laser; laser ophthalmoscopy ... See more keywords
Photo by thinkmagically from unsplash

Deep Neural Network-Based Method for Detecting Central Retinal Vein Occlusion Using Ultrawide-Field Fundus Ophthalmoscopy

Sign Up to like & get
recommendations!
Published in 2018 at "Journal of Ophthalmology"

DOI: 10.1155/2018/1875431

Abstract: The aim of this study is to assess the performance of two machine-learning technologies, namely, deep learning (DL) and support vector machine (SVM) algorithms, for detecting central retinal vein occlusion (CRVO) in ultrawide-field fundus images.… read more here.

Keywords: crvo; model; ultrawide field; field fundus ... See more keywords
Photo from wikipedia

Peripheral Cone Dystrophy: Expanded Clinical Spectrum, Multimodal and Ultrawide-Field Imaging, and Genomic Analysis

Sign Up to like & get
recommendations!
Published in 2018 at "Journal of Ophthalmology"

DOI: 10.1155/2018/2984934

Abstract: Purpose To present new clinical features, multimodal and ultrawide-field imaging characteristics of peripheral cone dystrophy (PCD), and results of laboratory and genetic investigation to decipher the etiology. Methods Retrospective observational case-series. Results Three patients with… read more here.

Keywords: field; ultrawide field; field imaging; cone dystrophy ... See more keywords
Photo by hajjidirir from unsplash

Prediction of Refractive Error Based on Ultrawide Field Images With Deep Learning Models in Myopia Patients

Sign Up to like & get
recommendations!
Published in 2022 at "Frontiers in Medicine"

DOI: 10.3389/fmed.2022.834281

Abstract: Summary Ultrawide field fundus images could be applied in deep learning models to predict the refractive error of myopic patients. The predicted error was related to the older age and greater spherical power. Purpose To… read more here.

Keywords: ultrawide field; learning models; error; refractive error ... See more keywords