Deep learning methods, such as the Mobile net, CNN algorithm, and VGG 16 models, will be applied in the proposed model. People will benefit from the suggested method by being able to …

Abstract— Cataract refers to the opacification of the ocular lens, resulting in a decline in visual acuity. The current systems have undergone training using a limited dataset, resulting in the …

Jul 17, 2023 · This paper presents an eye cataract detection system using Deep Convolution Neural Network (DCNNs) comprising two modules: training and testing.

Mar 10, 2024 · Android app which uses Neural architecture to detect the type and grade of the cataract. Deep learning project for ocular eye disease classification. Enhancing cataract …

Dec 8, 2022 · 2.2 Cataract detection using deep learning methods. The utilization of deep learning has demonstrated its capability to automatically extract features and overcome limitations in …

Sep 15, 2021 · In this paper, a novel deep neural network, namely CataractNet, is proposed for automatic cataract detection in fundus images. The loss and activation functions are tuned to …

Jun 27, 2023 · This study proposes an automatic method for detecting and classifying cataracts in their earliest stages by combining a deep learning (DL) model with the 2D-discrete Fourier …

Jul 19, 2023 · In this study, a novel 16-layer deep learning neural network architecture is introduced for cataract detection. The proposed network aims to accurately identify the …

showcases the use of Convolutional Neural Network (CNN) deep learning models on color pictures of the retinal fundus to detect, identify, and classify cataracts. Three hundred normal …

In this project, we have Implemented a Cataract detection system using Convolutional Neural Networks. This neural network consists of 16 layers out of which 8 layers are used for feature …