Ocular disease detection using advanced neural network based classification algorithms

NM Dipu, SA Shohan, KMA Salam - Asian Journal For Convergence In …, 2021 - asianssr.org
… However, manual diagnosis of ocular diseases is difficult, time-consuming and it can be …
ocular disease detection system is required for the early detection of various ocular diseases

A benchmark of ocular disease intelligent recognition: One shot for multi-disease detection

N Li, T Li, C Hu, K Wang, H Kang - … 2020, Virtual Event, November 15–16 …, 2021 - Springer
disease in daily life, we believe that establishing a more effective and comprehensive fundus
screening system that can detect multiple diseases … multiple ophthalmic diseases detection. …

Ocular diseases detection using recent deep learning techniques

T Guergueb, MA Akhloufi - … of the IEEE Engineering in Medicine …, 2021 - ieeexplore.ieee.org
… In this paper, we studied various models for ocular diseases detection, where six different
eye diseases were considered including Normal, Glaucoma, Cataract, Age Related Macula …

Dense correlation network for automated multi-label ocular disease detection with paired color fundus photographs

C Li, J Ye, J He, S Wang, Y Qiao… - 2020 IEEE 17th …, 2020 - ieeexplore.ieee.org
ocular disease screening. Since the left and right eyes are highly correlated, we utilize
paired color fundus photographs for our task of automated multi-label ocular disease detection. …

Challenges for ocular disease identification in the era of artificial intelligence

N Gour, M Tanveer, P Khanna - Neural Computing and Applications, 2023 - Springer
Ocular disease detection in clinical setup is done with the help of various retinal image
modalities. The patient’s retina is initially observed using fundus images. Nowadays, fundus …

A novel tele-eye protocol for ocular disease detection and access to eye care services

AY Maa, C Evans, WR DeLaune, PS Patel… - Telemedicine and e …, 2014 - liebertpub.com
… Therefore, this feasibility study was constructed such that sensitivity and specificity could
be calculated for ocular disease detection by having each patient receive a face-to-face exam …

Multiple ocular disease detection using novel ensemble models

Y Patil, A Shetty, Y Kale, R Patil, S Sharma - Multimedia Tools and …, 2024 - Springer
disease detection. The purpose of this paper is to provide a solution for the detection of multiple
ocular diseases … Stack ensemble models consisting of multiple singular disease models …

An automatic ocular disease detection scheme from enhanced fundus images based on ensembling deep CNN networks

IA Khan, FNU Asaduzzaman… - 2020 11th International …, 2020 - ieeexplore.ieee.org
… In this paper, we propose an ensemble approach to identify ocular disease utilizing data …
the current ocular disease recognition task. These networks individually show decent detection

A survey on computer aided diagnosis for ocular diseases

Z Zhang, R Srivastava, H Liu, X Chen, L Duan… - BMC medical informatics …, 2014 - Springer
ocular CAD methodologies for various data types. For each data type, we investigate the
databases and the algorithms to detect different ocular diseases… of ocular disease detection, are …

Automated computationally intelligent methods for ocular vessel segmentation and disease detection: a review

Preity, AK Bhandari, S Shahnawazuddin - Archives of Computational …, 2024 - Springer
… diagnosis of different ocular diseases as blood vessels are the … for vessel segmentation and
disease detection. In the majority … for vessel segmentation and ocular disease detection and …