Current and future roles of artificial intelligence in retinopathy of prematurity

A Jafarizadeh, SF Maleki, P Pouya, N Sobhi… - arXiv preprint arXiv …, 2024 - arxiv.org
Retinopathy of prematurity (ROP) is a severe condition affecting premature infants, leading
to abnormal retinal blood vessel growth, retinal detachment, and potential blindness. While …

Applying novel self‐supervised learning for early detection of retinopathy of prematurity

D Wang, W Qiao, W Guo, Y Cai - Electronics Letters, 2024 - Wiley Online Library
Retinopathy of prematurity (ROP) mainly occurs in premature infants with low birth weight,
and it is the leading cause of childhood blindness. Early and accurate ROP diagnosis is …

OBGESS: Automating Original Bender Gestalt Test Based on One Stage Deep Learning

M Fathi Ahmadsaraei, A Bastanfard, A Amini - International Journal of …, 2023 - Springer
Hand sketch psychological data are mysterious and can be used to detect mental disorders
early and prevent them from getting worse and with irreversible consequences. The Original …

Retinopathy of Prematurity Disease Diagnosis Using Deep Learning

E Ndunge Mutua… - … Journal of Computing …, 2024 - journal.uob.edu.bh
Retinopathy of Prematurity (ROP) is a disease affecting infants born preterm, at birth their
retina is not well developed and in most times after birth the veins do not develop to full term …

A Comprehensive Approach for Predicting Different Types of Retinal Detachment with ML Algorithms

E Anitha, DJ Aravindhar, A Antonidoss - International Conference on …, 2023 - Springer
The usage of neural networks to image processing has grown in popularity as computer
technology and hardware have advanced over time. Soon, DL attracted the attention of …

Original Research Article Catalyzing early intervention: A robust deep learning approach for detecting retinopathy of prematurity and plus diseases in infants

A Saad, N Salih, M Ksantini, N Hussein… - Journal of …, 2024 - jai.front-sci.com
Retinopathy of prematurity (ROP) is a major cause of childhood blindness, requiring precise
and prompt diagnosis. This paper presents a new method that uses deep convolutional …

[PDF][PDF] National School of Electronics And Telecommunications of Sfax

N Salih - 2023 - researchgate.net
The available research on the creation of intelligent algorithms based on ensemble learning
for image processing in evaluating (ROP) disease is thoroughly reviewed in this chapter …

Comprehensive Prediction of Retinopathy in Preterm Infants Using Deep Learning Approaches

G Hubert, SS Priscila - Advancing Intelligent Networks Through …, 2024 - igi-global.com
Preterm newborns' visual condition is greatly endangered by retinopathy, which makes
prompt and precise identification essential for successful treatment. Using the capabilities of …

[PDF][PDF] A Comprehensive Survey on Retinopathy of Prematurity Diagnosis Based on Artificial Intelligence

N Salih, M Ksantini, N Hussein, D Ben, H Abid - researchgate.net
One of the leading causes of childhood blindness is retinopathy of prematurity (ROP), a
proliferative vascular eye disease that primarily affects premature infants delivered to …