Analysis of deep learning techniques for prediction of eye diseases: A systematic review

A Bali, V Mansotra - Archives of Computational Methods in Engineering, 2024 - Springer
The prediction and early diagnosis of eye diseases are critical for effective treatment and
prevention of vision loss. The identification of eye diseases has recently been the subject of …

A hybrid global-local representation CNN model for automatic cataract grading

X Xu, L Zhang, J Li, Y Guan… - IEEE journal of biomedical …, 2019 - ieeexplore.ieee.org
Cataract is one of the most serious eye diseases leading to blindness. Early detection and
treatment can reduce the rate of blindness in cataract patients. However, the professional …

Computer-aided diagnosis of cataract using deep transfer learning

T Pratap, P Kokil - Biomedical Signal Processing and Control, 2019 - Elsevier
Cataract is a leading eye disease across the world. If cataract is not diagnosed in earlier
stage, then it may lead to blindness. Earlier detection is the best way to control the risk and …

Automatic cataract detection and grading using deep convolutional neural network

L Zhang, J Li, H Han, B Liu, J Yang… - 2017 IEEE 14th …, 2017 - ieeexplore.ieee.org
Cataract is one of the most prevalent causes of blindness in the industrialized world,
accounting for more than 50% of blindness. Early detection and treatment can reduce the …

Fundus image-based cataract classification using a hybrid convolutional and recurrent neural network

A Imran, J Li, Y Pei, F Akhtar, T Mahmood, L Zhang - The visual computer, 2021 - Springer
Cataract is the most prevailing reason for blindness across the globe, which occupies about
4.2% population of the world. Even with the developments in visual sciences, fundus image …

Sidh–a game based firefighter training simulation

P Backlund, H Engstrom, C Hammar… - … Visualization (IV'07), 2007 - ieeexplore.ieee.org
This paper presents Sidh–a game based firefighter training simulator developed in
cooperation between the University of Skövde and the Swedish Rescue Services Agency …

Automatic Cataract Severity Detection and Grading Using Deep Learning

S Yadav, JKPS Yadav - Journal of Sensors, 2023 - Wiley Online Library
Cataracts are an eye condition that causes the eye's lens to become cloudy and is a
significant cause of vision loss worldwide. Accurate and timely detection and diagnosis of …

Computer‐aided diagnosis of cataract severity using retinal fundus images and deep learning

JKPS Yadav, S Yadav - Computational Intelligence, 2022 - Wiley Online Library
Cataracts are lenticular opacities that can appear in different parts of the lens in the eye and
are a leading cause of blindness globally. Accurate detection and early‐stage diagnosis can …

The use of convolutional neural networks and digital camera images in cataract detection

CJ Lai, PF Pai, M Marvin, HH Hung, SH Wang… - Electronics, 2022 - mdpi.com
Cataract is one of the major causes of blindness in the world. Its early detection and
treatment could greatly reduce the risk of deterioration and blindness. Instruments commonly …

Automatic cataract diagnosis by image-based interpretability

J Li, X Xu, Y Guan, A Imran, B Liu… - … on systems, man …, 2018 - ieeexplore.ieee.org
Cataract is defined as a lenticular opacity presenting usually with poor visual acuity. It is
considered the most common cause of blindness. Early diagnosis and treatment can reduce …