Performance of deep-learning artificial intelligence algorithms in detecting retinopathy of prematurity: A systematic review
PURPOSE: Artificial intelligence (AI) offers considerable promise for retinopathy of
prematurity (ROP) screening and diagnosis. The development of deep-learning algorithms …
prematurity (ROP) screening and diagnosis. The development of deep-learning algorithms …
Deep Learning Approach in Image Diagnosis of Pseudomonas Keratitis
This investigation aimed to explore deep learning (DL) models' potential for diagnosing
Pseudomonas keratitis using external eye images. In the retrospective research, the images …
Pseudomonas keratitis using external eye images. In the retrospective research, the images …
Retinopathy of prematurity screening: A narrative review of current programs, teleophthalmology, and diagnostic support systems
PURPOSE: Neonatal care in middle-income countries has improved over the last decade,
leading to a “third epidemic” of retinopathy of prematurity (ROP). Without concomitant …
leading to a “third epidemic” of retinopathy of prematurity (ROP). Without concomitant …
[HTML][HTML] An Artificial Intelligence System for Screening and Recommending the Treatment Modalities for Retinopathy of Prematurity
Y Liu, Y Du, X Wang, X Zhao, S Zhang… - The Asia-Pacific …, 2023 - journals.lww.com
Purpose: The purpose of this study was to develop an artificial intelligence (AI) system for
the identification of disease status and recommending treatment modalities for retinopathy of …
the identification of disease status and recommending treatment modalities for retinopathy of …
Plus disease classification in Retinopathy of Prematurity using transform based features
KM Jemshi, G Sreelekha, PS Sathidevi… - Multimedia Tools and …, 2024 - Springer
Retinopathy of prematurity (ROP) is a leading cause of childhood blindness affecting the
retina of low birth weight preterm infants. Plus disease in ROP characterised by abnormal …
retina of low birth weight preterm infants. Plus disease in ROP characterised by abnormal …
Image harmonization and deep learning automated classification of plus disease in retinopathy of prematurity
A Subramaniam, F Orge, M Douglass… - Journal of Medical …, 2023 - spiedigitallibrary.org
Purpose Retinopathy of prematurity (ROP) is a retinal vascular disease affecting premature
infants that can culminate in blindness within days if not monitored and treated. A disease …
infants that can culminate in blindness within days if not monitored and treated. A disease …
Deep learning-assisted retinopathy of prematurity (ROP) screening
Retinopathy of prematurity (ROP) is a leading cause of blindness in premature infants
worldwide, particularly in developing countries. In this research, we propose a Deep …
worldwide, particularly in developing countries. In this research, we propose a Deep …
[HTML][HTML] Applications of deep learning: automated assessment of vascular tortuosity in mouse models of oxygen-induced retinopathy
Objective To develop a generative adversarial network (GAN) to segment major blood
vessels from retinal flat-mount images from oxygen-induced retinopathy (OIR) and …
vessels from retinal flat-mount images from oxygen-induced retinopathy (OIR) and …
[HTML][HTML] Everything real about unreal artificial intelligence in diabetic retinopathy and in ocular pathologies
Artificial Intelligence is a multidisciplinary field with the aim of building platforms that can
make machines act, perceive, reason intelligently and whose goal is to automate activities …
make machines act, perceive, reason intelligently and whose goal is to automate activities …
Computer-aided detection of retinopathy of prematurity severity assessment via vessel tortuosity measurement in preterm infants' fundus images
Objective To develop a computer-aided diagnostic system for retinopathy of prematurity
(ROP) disease using retinal vessel morphological features. Methods A total of 200 fundus …
(ROP) disease using retinal vessel morphological features. Methods A total of 200 fundus …