Deep learning for the diagnosis of stage in retinopathy of prematurity: accuracy and generalizability across populations and cameras
Purpose Stage is an important feature to identify in retinal images of infants at risk of
retinopathy of prematurity (ROP). The purpose of this study was to implement a …
retinopathy of prematurity (ROP). The purpose of this study was to implement a …
Deep learning models for automated diagnosis of retinopathy of prematurity in preterm infants
Retinopathy of prematurity (ROP) is a disease that can cause blindness in premature infants.
It is characterized by immature vascular growth of the retinal blood vessels. However, early …
It is characterized by immature vascular growth of the retinal blood vessels. However, early …
Automatic evaluation of the lung condition of COVID-19 patients using X-ray images and convolutional neural networks
COVID-19 represents one of the greatest challenges in modern history. Its impact is most
noticeable in the health care system, mostly due to the accelerated and increased influx of …
noticeable in the health care system, mostly due to the accelerated and increased influx of …
Deep dive in retinal fundus image segmentation using deep learning for retinopathy of prematurity
Segmentation of retinal structures, namely optic disc, vessel, demarcation line, and ridge, is
essential for describing the characteristics of Retinopathy of Prematurity (ROP) …
essential for describing the characteristics of Retinopathy of Prematurity (ROP) …
Artificial intelligence for the diagnosis of retinopathy of prematurity: a systematic review of current algorithms
A Ramanathan, SE Athikarisamy, GC Lam - Eye, 2023 - nature.com
Abstract Background/Objectives With the increasing survival of premature infants, there is an
increased demand to provide adequate retinopathy of prematurity (ROP) services. Wide field …
increased demand to provide adequate retinopathy of prematurity (ROP) services. Wide field …
Comparisons of deep learning algorithms for diagnosing bacterial keratitis via external eye photographs
Bacterial keratitis (BK), a painful and fulminant bacterial infection of the cornea, is the most
common type of vision-threatening infectious keratitis (IK). A rapid clinical diagnosis by an …
common type of vision-threatening infectious keratitis (IK). A rapid clinical diagnosis by an …
Automated diagnosis of plus disease in retinopathy of prematurity using quantification of vessels characteristics
The condition known as Plus disease is distinguished by atypical alterations in the retinal
vasculature of neonates born prematurely. It has been demonstrated that the diagnosis of …
vasculature of neonates born prematurely. It has been demonstrated that the diagnosis of …
Performance and comparison of artificial intelligence and human experts in the detection and classification of colonic polyps
MD Li, ZR Huang, QY Shan, SL Chen, N Zhang… - BMC …, 2022 - Springer
Objective The main aim of this study was to analyze the performance of different artificial
intelligence (AI) models in endoscopic colonic polyp detection and classification and …
intelligence (AI) models in endoscopic colonic polyp detection and classification and …
A deep learning framework for the detection of Plus disease in retinal fundus images of preterm infants
Retinopathy of prematurity (ROP) is an eye disorder that mainly affects fundus vasculature of
immature infants. The effect of this disease can be mild with no observable impairments or …
immature infants. The effect of this disease can be mild with no observable impairments or …
Multicenter Validation of Deep Learning Algorithm ROP. AI for the Automated Diagnosis of Plus Disease in ROP
A Bai, S Dai, J Hung, A Kirpalani… - … vision science & …, 2023 - tvst.arvojournals.org
Purpose: Retinopathy of prematurity (ROP) is a sight-threatening vasoproliferative retinal
disease affecting premature infants. The detection of plus disease, a severe form of ROP …
disease affecting premature infants. The detection of plus disease, a severe form of ROP …