A deep convolutional neural network for diabetic retinopathy detection via mining local and long‐range dependence

X Luo, W Wang, Y Xu, Z Lai, X Jin… - CAAI Transactions …, 2024 - Wiley Online Library
Diabetic retinopathy (DR), the main cause of irreversible blindness, is one of the most
common complications of diabetes. At present, deep convolutional neural networks have …

Construction and verification of color fundus image retinal vessels segmentation algorithm under BP neural network

Z Liu - The Journal of Supercomputing, 2021 - Springer
For the purpose of analyzing the application of back propagation (BP) neural network model
in retinal vascular segmentation of color fundus images, in this study, the traditional BP …

X-linked retinitis pigmentosa gene therapy: preclinical aspects

V Mansouri - Ophthalmology and Therapy, 2023 - Springer
The most common inherited eye disease is retinitis pigmentosa (RP). X-linked RP (XLRP) is
one of the most severe types of RP, with a considerable disease burden. Patients with XLRP …

[HTML][HTML] Multiscale triplet spatial information fusion-based deep learning method to detect retinal pigment signs with fundus images

M Arsalan, A Haider, C Park, JS Hong… - Engineering Applications of …, 2024 - Elsevier
Inherited retinal diseases (IRDs) are genetic disorders that cause progressive deterioration
of the photoreceptors associated with vision loss or blindness. Retinitis pigmentosa (RP) is a …

Hybrid Multilevel Thresholding-Otsu and Morphology Operation for Retinal Blood Vessel Segmentation.

A Noorfizir, MN Rachmatullah… - Engineering …, 2020 - search.ebscohost.com
This paper proposes an image segmentation method, namely multilevel thresholding-Otsu.
The proposed method shows a comparison of different thresholding levels. The thresholding …

A Detectability Analysis of Retinitis Pigmetosa Using Novel SE-ResNet Based Deep Learning Model and Color Fundus Images

R Rashid, W Aslam, A Mehmood, DLR Vargas… - IEEE …, 2024 - ieeexplore.ieee.org
Retinitis pigmentosa (RP) is a group of genetic retinal disorders characterized by
progressive vision loss, culminating in blindness. Identifying pigment signs (PS) linked with …

Segmentation of pigment signs in fundus images for retinitis pigmentosa analysis by using deep learning

N Brancati, M Frucci, D Riccio, L Di Perna… - Image Analysis and …, 2019 - Springer
Abstract The adoption of Deep Learning (DL) algorithms into the practice of ophthalmology
could play an important role in screening and diagnosis of eye diseases in the coming …

[HTML][HTML] Clinical heterogeneity in retinitis pigmentosa caused by variants in RP1 and RLBP1 in five extended consanguineous pedigrees

M Al-Bdour, S Pauleck, Z Dardas, R Barham… - Molecular …, 2020 - ncbi.nlm.nih.gov
Purpose The aim of this study is to identify disease-causing variants in five consanguineous
Jordanian families with a history of autosomal recessive retinitis pigmentosa (RP), and to …

UAU-Net: United Attention U-Shaped Network for the Segmentation of Pigment Deposits in Fundus Images of Retinitis Pigmentosa

J Xu, Z Wang, W Zhu, Y Zhou, Y Sun, Z Li, M Liu… - … on Ophthalmic Medical …, 2023 - Springer
Retinitis Pigmentosa (RP) is a retinal disease with high rate of blindness. Retinal pigment
deposits are a typical symptom of RP, whose automatic segmentation is crucial to the early …

Application of Convolutional Gated Recurrent Units U-Net for Distinguishing between Retinitis Pigmentosa and Cone–Rod Dystrophy

M Skublewska-Paszkowska, P Powroznik… - acta mechanica et …, 2024 - sciendo.com
Artificial Intelligence (AI) has gained a prominent role in the medical industry. The rapid
development of the computer science field has caused AI to become a meaningful part of …