Computer-Aided Detection of Retinopathy of Prematurity Severity in Preterm Infants via Measurement of Temporal Vessel Width and Angle

YP Huang, S Vadloori, EYC Kang, WC Wu - Frontiers in Pediatrics, 2022 - frontiersin.org
Retinopathy of prematurity (ROP) is a retinal disorder that occurs in preterm infants with low
birth weight and is the leading cause of preventable blindness in children. Early …

Automated detection for Retinopathy of Prematurity with knowledge distilling from multi-stream fusion network

Y Shen, Z Luo, M Xu, Z Liang, X Fan, X Lu - Knowledge-Based Systems, 2023 - Elsevier
Retinopathy of Prematurity (ROP) is a potentially blinding eye disease that primarily occurs
in premature infants with low birth weight. It is the main cause of childhood blindness …

GFF-Net: Graph-based feature fusion network for diagnosing plus disease in retinopathy of prematurity

K Huang, W Dong, J Li, Y Chen, J Zhong, Z Yi - Applied Intelligence, 2023 - Springer
Retinopathy of prematurity (ROP) is a retinal proliferative disorder, and it is the primary
cause of childhood blindness. Accurate and convenient automatic diagnostic tools are …

[HTML][HTML] An Interpretable System for Screening the Severity Level of Retinopathy in Premature Infants Using Deep Learning

W Yang, H Zhou, Y Zhang, L Sun, L Huang, S Li, X Luo… - Bioengineering, 2024 - mdpi.com
Accurate evaluation of retinopathy of prematurity (ROP) severity is vital for screening and
proper treatment. Current deep-learning-based automated AI systems for assessing ROP …

The role of telemedicine to alleviate an increasingly burdened healthcare system: Retinopathy of prematurity

F Antaki, K Bachour, TN Kim, CX Qian - Ophthalmology and therapy, 2020 - Springer
Telemedicine-based remote digital fundus imaging (RDFI-TM) offers a promising platform for
the screening of retinopathy of prematurity. RDFI-TM addresses some of the challenges …

Assessing the value of artificial intelligence in retinopathy of prematurity screening—Be specific with regard to the data

SJ Johnson - JAMA ophthalmology, 2022 - jamanetwork.com
Morrison et al1 describe an intriguing application of artificial intelligence (AI) to screen for
retinopathy of prematurity (ROP), an area of substantial lifetime comorbidity. The authors …

Machine learning applications in pediatric ophthalmology: AUTHORS

I Oke, D VanderVeen - Seminars in Ophthalmology, 2021 - Taylor & Francis
Purpose: To describe emerging applications of machine learning (ML) in pediatric
ophthalmology with an emphasis on the diagnosis and treatment of disorders affecting …

Image analysis-based machine learning for the diagnosis of retinopathy of prematurity: A meta-analysis and systematic review

Y Chu, S Hu, Z Li, X Yang, H Liu, X Yi, X Qi - Ophthalmology Retina, 2024 - Elsevier
Topic To evaluate the performance of machine learning (ML) in the diagnosis of retinopathy
of prematurity (ROP) and to assess whether it can be an effective automated diagnostic tool …

Congenital diaphragmatic hernia: automatic lung and liver MRI segmentation with nnU-Net, reproducibility of pyradiomics features, and a machine learning …

L Conte, I Amodeo, G De Nunzio, G Raffaeli… - European Journal of …, 2024 - Springer
Prenatal assessment of lung size and liver position is essential to stratify congenital
diaphragmatic hernia (CDH) fetuses in risk categories, guiding counseling, and patient …

Color fundus imaging in retinopathy of prematurity screening: present and future

S Jayanna, TR Padhi, EK Nedhina… - Indian Journal of …, 2023 - journals.lww.com
Advent of pediatric handheld fundus cameras like RetCam, 3netra Forus, and Phoenix ICON
pediatric retinal camera has aided in effective screening of retinopathy of prematurity (ROP) …