[HTML][HTML] Enhancing rop plus form diagnosis: an automatic blood vessel segmentation approach for newborn fundus images

J Almeida, J Kubicek, M Penhaker, M Cerny… - Results in …, 2024 - Elsevier
Abstract Background ROP Plus Form is an eye disease that can lead to blindness, and
diagnosing it requires medical experts to manually examine the retinal condition. This task is …

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 …

Fundus imaging-based healthcare: Present and future

V Kumar, K Paul - ACM Transactions on Computing for Healthcare, 2023 - dl.acm.org
A fundus image is a two-dimensional pictorial representation of the membrane at the rear of
the eye that consists of blood vessels, the optical disc, optical cup, macula, and fovea …

Automatic zoning for retinopathy of prematurity with a key area location system

Y Peng, H Xu, L Zhao, W Zhu, F Shi, M Wang… - Biomedical Optics …, 2024 - opg.optica.org
Retinopathy of prematurity (ROP) usually occurs in premature or low birth weight infants and
has been an important cause of childhood blindness worldwide. Diagnosis and treatment of …

NetraDeep: An Integrated Deep Learning and Image Processing System for Precise Detection of Hard Exudates

V Agrawal, V Kumar, S Sharma, R Chawla… - ACM Transactions on …, 2024 - dl.acm.org
Hard exudate (HE) is a common manifestation of various eye diseases, such as diabetic
retinopathy (DR), and a prominent cause of vision loss and blindness. Researchers aim to …

[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 …

Automated diagnosis of plus disease in retinopathy of prematurity based on transformer-based unsupervised curriculum learning

K Deepthi, MS Josephine, VJ Raja - Biomedical Signal Processing and …, 2025 - Elsevier
Retinopathy of prematurity (ROP) is a serious ocular condition that predominantly impacts
premature infants, with plus disease serving as a significant marker of its severity. Timely …

Using Novel Fundus Image Preprocessing to Improve the Classification of Retinopathy of Prematurity (ROP) Using Deep Learning

S Rahim - 2024 - macsphere.mcmaster.ca
Retinopathy of Prematurity (ROP) can affect babies born prematurely. It is a potentially
blinding eye disorder which can arise from the complications of undeveloped retina. Thus …

[PDF][PDF] Improved Blood Vessels Segmentation of Retinal Image of Infants.

V Kumar, H Patel, K Paul, A Surve, S Azad, R Chawla - HEALTHINF, 2022 - academia.edu
Retinopathy of prematurity (ROP) is the leading cause of blindness in premature babies
worldwide. ROP is quantified through the structural information of the retinal vessel map …

Computer-aided diagnosis of early-stage Retinopathy of Prematurity in neonatal fundus images using artificial intelligence

VMR Sankari, S Umapathy - Biomedical Physics & Engineering …, 2024 - iopscience.iop.org
Retinopathy of Prematurity (ROP) is a retinal disorder affecting preterm babies, which can
lead to permanent blindness without treatment. Early-stage ROP diagnosis is vital in …