Robust Classification Model for Diabetic Retinopathy Based on the Contrastive Learning Method with a Convolutional Neural Network

Robust Classification Model for Diabetic Retinopathy Based on the Contrastive Learning Method with a Convolutional Neural Network

Diabetic retinopathy is one of the most common microvascular complications of diabetes. Early detection and treatment can effectively reduce the risk. Hence, a robust computer-aided diagnosis model is important. Based on the labeled fundus images, we build a binary classification model based on ResN...

Full description

Bibliographic Details
Main Authors:	Xinxing Feng, Shuai Zhang, Long Xu, Xin Huang, Yanyan Chen
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Series:	Applied Sciences
Subjects:	supervised contrastive learning diabetic retinopathy classification convolutional neural network
Online Access:	https://www.mdpi.com/2076-3417/12/23/12071

Similar Items

DIABETIC RETINOPATHY DIAGNOSIS USING A CONVOLUTIONAL NEURAL NETWORK
by: Daria S. Shishikina, et al.
Published: (2023-12-01)

Automatic Detection and Monitoring of Diabetic Retinopathy Using Efficient Convolutional Neural Networks and Contrast Limited Adaptive Histogram Equalization
by: Asra Momeni Pour, et al.
Published: (2020-01-01)

Deep Convolutional Neural Network-Based Early Automated Detection of Diabetic Retinopathy Using Fundus Image
by: Kele Xu, et al.
Published: (2017-11-01)

Supervised Contrastive Learning-Based Classification for Hyperspectral Image
by: Lingbo Huang, et al.
Published: (2022-11-01)

An Approach to Detecting Diabetic Retinopathy Based on Integrated Shallow Convolutional Neural Networks
by: Wanghu Chen, et al.
Published: (2020-01-01)

Transfer Learning with Convolutional Neural Networks for Diabetic Retinopathy Image Classification. A Review
by: Ibrahem Kandel, et al.
Published: (2020-03-01)

Diabetic Retinopathy Severity Detection using Convolutional Neural Network
by: Shete Mayank, et al.
Published: (2020-01-01)

Classification of Diabetic Retinopathy Disease Using Convolutional Neural Network
by: Agus Eko Minarno, et al.
Published: (2022-03-01)

Classification of Diabetic Retinopathy disease with Transfer Learning using Deep Convolutional Neural Networks
by: SOMASUNDARAM, K., et al.
Published: (2021-08-01)

Diabetic Retinopathy Classification Using CNN and Hybrid Deep Convolutional Neural Networks
by: Yasashvini R., et al.
Published: (2022-09-01)

Multi-Model Domain Adaptation for Diabetic Retinopathy Classification
by: Guanghua Zhang, et al.
Published: (2022-07-01)

The Neural Network of One-Dimensional Convolution-An Example of the Diagnosis of Diabetic Retinopathy
by: Yunlei Sun
Published: (2019-01-01)

Diabetic Retinopathy Fundus Image Classification and Lesions Localization System Using Deep Learning
by: Wejdan L. Alyoubi, et al.
Published: (2021-05-01)

A Novel Diabetic Retinopathy Detection Approach Based on Deep Symmetric Convolutional Neural Network
by: Tieyuan Liu, et al.
Published: (2021-01-01)

Data Diversity in Convolutional Neural Network Based Ensemble Model for Diabetic Retinopathy
by: Inamullah, et al.
Published: (2023-04-01)

Automatic view classification of contrast and non-contrast echocardiography
by: Ye Zhu, et al.
Published: (2022-09-01)

Automatic Severity Classification of Diabetic Retinopathy Based on DenseNet and Convolutional Block Attention Module
by: Mohamed M. Farag, et al.
Published: (2022-01-01)

Prediction of Microvascular Invasion of Hepatocellular Carcinoma Based on Contrast-Enhanced MR and 3D Convolutional Neural Networks
by: Wu Zhou, et al.
Published: (2021-03-01)

An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection
by: F M Javed Mehedi Shamrat, et al.
Published: (2024-06-01)

ROAD CONDITION CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS
by: George-Bogdan MACA
Published: (2019-12-01)

Grading of Diabetic Retinopathy Images Based on Graph Neural Network
by: Meiling Feng, et al.
Published: (2023-01-01)

A mutli-scale spatial-temporal convolutional neural network with contrastive learning for motor imagery EEG classification
by: Ruoqi Zhao, et al.
Published: (2023-03-01)

Convolution neural network for diabetic retinopathy classification with select enhancment algorithm /
by: Sinan Salim Mohammed Sheet, 1976-, author 649026
Published: (2022)

Convolution neural network for diabetic retinopathy classification with select enhancment algorithm /
by: Sinan Salim Mohammed Sheet, 1976-, author 649026, et al.
Published: (2022)

An Efficient Convolutional Neural Network with Supervised Contrastive Learning for Multi-Target DOA Estimation in Low SNR
by: Yingchun Li, et al.
Published: (2023-09-01)

Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network
by: Ayoub Skouta, et al.
Published: (2022-06-01)

Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification
by: Joel Jaskari, et al.
Published: (2022-01-01)

A noise robust convolutional neural network for image classification
by: Mohammad Momeny, et al.
Published: (2021-06-01)

Semi-Supervised Classification for Intra-Pulse Modulation of Radar Emitter Signals Using Convolutional Neural Network
by: Shibo Yuan, et al.
Published: (2022-04-01)

Automatic Diabetic Retinopathy Diagnosis Using Adaptive Fine-Tuned Convolutional Neural Network
by: Fahman Saeed, et al.
Published: (2021-01-01)

SSCLNet: A Self-Supervised Contrastive Loss-Based Pre-Trained Network for Brain MRI Classification
by: Animesh Mishra, et al.
Published: (2023-01-01)

A Survey on Deep-Learning-Based Diabetic Retinopathy Classification
by: Anila Sebastian, et al.
Published: (2023-01-01)

Accurate Detection of Non-Proliferative Diabetic Retinopathy in Optical Coherence Tomography Images Using Convolutional Neural Networks
by: Mohammed Ghazal, et al.
Published: (2020-01-01)

Contrast Pattern-Based Classification for Bot Detection on Twitter
by: Octavio Loyola-Gonzalez, et al.
Published: (2019-01-01)

Diabetic Retinopathy and Diabetic Macular Edema Detection Using Ensemble Based Convolutional Neural Networks
by: Swaminathan Sundaram, et al.
Published: (2023-03-01)

MULTISTAGE CLASSIFICATION OF DIABETIC RETINOPATHY USING FUZZY-NEURAL NETWORK CLASSIFIER
by: Deepthi K Prasad, et al.
Published: (2018-05-01)

Classification of Diabetic Rat Histopathology Images Using Convolutional Neural Networks
by: Ahmet Haşim Yurttakal, et al.
Published: (2020-11-01)

Leveraging Convolutional Neural Networks for Automated Detection and Grading of Diabetic Retinopathy from Fundus Images
by: Ibnu Uzail Yamani, et al.
Published: (2024-03-01)

Detecting Lamellipodia in Epithelial Cell Clusters Using a Fully Convolutional Neural Network for Phase Contrast Microscopy Images
by: Grützmacher Simon, et al.
Published: (2018-09-01)

Automated Diabetic Retinopathy Detection Based on Binocular Siamese-Like Convolutional Neural Network
by: Xianglong Zeng, et al.
Published: (2019-01-01)