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 …
prevention of vision loss. The identification of eye diseases has recently been the subject of …
Multi-stage glaucoma classification using pre-trained convolutional neural networks and voting-based classifier fusion
VK Velpula, LD Sharma - Frontiers in Physiology, 2023 - frontiersin.org
Aim: To design an automated glaucoma detection system for early detection of glaucoma
using fundus images. Background: Glaucoma is a serious eye problem that can cause vision …
using fundus images. Background: Glaucoma is a serious eye problem that can cause vision …
En‐ConvNet: A novel approach for glaucoma detection from color fundus images using ensemble of deep convolutional neural networks
P Elangovan, MK Nath - International Journal of Imaging …, 2022 - Wiley Online Library
Glaucomatous optic neuropathy is the preeminent cause of incurable vision impairment and
blindness across the world. Manual interpretation of the pathological structures in fundus …
blindness across the world. Manual interpretation of the pathological structures in fundus …
Glaucoma detection with retinal fundus images using segmentation and classification
T Shyamalee, D Meedeniya - Machine Intelligence Research, 2022 - Springer
Glaucoma is a prevalent cause of blindness worldwide. If not treated promptly, it can cause
vision and quality of life to deteriorate. According to statistics, glaucoma affects …
vision and quality of life to deteriorate. According to statistics, glaucoma affects …
A novel context aware joint segmentation and classification framework for glaucoma detection
Glaucoma is a chronic ocular disease characterized by damage to the optic nerve resulting
in progressive and irreversible visual loss. Early detection and timely clinical interventions …
in progressive and irreversible visual loss. Early detection and timely clinical interventions …
A novel multimodality based dual fusion integrated approach for efficient and early prediction of glaucoma
As there is currently no exact treatment for glaucoma, early detection and diagnosis are
essential to reduce the risk of this infection. In recent years, Machine learning and deep …
essential to reduce the risk of this infection. In recent years, Machine learning and deep …
Automated tool support for glaucoma identification with explainability using fundus images
Glaucoma is a progressive eye condition that causes irreversible vision loss due to damage
to the optic nerve. Recent developments in deep learning and the accessibility of computing …
to the optic nerve. Recent developments in deep learning and the accessibility of computing …
Glaucoma detection with explainable AI using convolutional neural networks based feature extraction and machine learning classifiers
Glaucoma is an eye disease that damages the optic nerve as a result of vision loss, it is the
leading cause of blindness worldwide. Due to the time‐consuming, inaccurate, and manual …
leading cause of blindness worldwide. Due to the time‐consuming, inaccurate, and manual …
CNN based fundus images classification for glaucoma identification
T Shyamalee, D Meedeniya - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Glaucoma is a fatal, worldwide disease that can cause blindness after cataracts for people
over 40-60 years. Statistics on glaucoma have shown that around 65 million people …
over 40-60 years. Statistics on glaucoma have shown that around 65 million people …
Diagnosing multiple chronic diseases based on machine learning techniques: review, challenges and futuristic approach
The usage of various machine learning methods which is a subset of artificial intelligence
has revolutionized healthcare organizations by extracting the relevant patterns and …
has revolutionized healthcare organizations by extracting the relevant patterns and …