Performance Analysis of Deep-Neural-Network-Based Automatic Diagnosis of Diabetic Retinopathy

Performance Analysis of Deep-Neural-Network-Based Automatic Diagnosis of Diabetic Retinopathy

Diabetic retinopathy (DR) is a human eye disease that affects people who are suffering from diabetes. It causes damage to their eyes, including vision loss. It is treatable; however, it takes a long time to diagnose and may require many eye exams. Early detection of DR may prevent or delay the visio...

Full description

Bibliographic Details
Main Authors:	Hassan Tariq, Muhammad Rashid, Asfa Javed, Eeman Zafar, Saud S. Alotaibi, Muhammad Yousuf Irfan Zia
Format:	Article
Language:	English
Published:	MDPI AG 2021-12-01
Series:	Sensors
Subjects:	deep learning diabetic retinopathy deep transfer learning convolutional neural network automatic detection
Online Access:	https://www.mdpi.com/1424-8220/22/1/205

Similar Items

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

HDR-EfficientNet: A Classification of Hypertensive and Diabetic Retinopathy Using Optimize EfficientNet Architecture
by: Qaisar Abbas, et al.
Published: (2023-10-01)

Towards Explainable Deep Neural Networks for the Automatic Detection of Diabetic Retinopathy
by: Hanan Saleh Alghamdi
Published: (2022-09-01)

Designing the Architecture of a Convolutional Neural Network Automatically for Diabetic Retinopathy Diagnosis
by: Fahman Saeed, et al.
Published: (2023-01-01)

Automatic Diagnosis of Diabetic Retinopathy Stage Focusing Exclusively on Retinal Hemorrhage
by: Yoshihiro Tokuda, et al.
Published: (2022-11-01)

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

Diagnosis of Diabetic Retinopathy Using Deep Neural Networks
by: Zhentao Gao, et al.
Published: (2019-01-01)

Enhancement of Diabetic Retinopathy Prognostication Using Deep Learning, CLAHE, and ESRGAN
by: Ghadah Alwakid, et al.
Published: (2023-07-01)

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

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

Comparative analysis of deep learning methods of detection of diabetic retinopathy
by: Alexandr Pak, et al.
Published: (2020-01-01)

Transfer Learning for Diabetic Retinopathy Detection: A Study of Dataset Combination and Model Performance
by: A. M. Mutawa, et al.
Published: (2023-05-01)

Automatic Detection of Diabetic Retinopathy: A Review on Datasets, Methods and Evaluation Metrics
by: Muhammad Mateen, et al.
Published: (2020-01-01)

Deep Neural Network for Predicting Diabetic Retinopathy from Risk Factors
by: Ganjar Alfian, et al.
Published: (2020-09-01)

Combining transfer learning with retinal lesion features for accurate detection of diabetic retinopathy
by: Doaa Hassan, et al.
Published: (2022-11-01)

Mobile-HR: An Ophthalmologic-Based Classification System for Diagnosis of Hypertensive Retinopathy Using Optimized MobileNet Architecture
by: Muhammad Zaheer Sajid, et al.
Published: (2023-04-01)

DR-NASNet: Automated System to Detect and Classify Diabetic Retinopathy Severity Using Improved Pretrained NASNet Model
by: Muhammad Zaheer Sajid, et al.
Published: (2023-08-01)

Testing a Deep Learning Algorithm for Detection of Diabetic Retinopathy in a Spanish Diabetic Population and with MESSIDOR Database
by: Marc Baget-Bernaldiz, et al.
Published: (2021-07-01)

DIAROP: Automated Deep Learning-Based Diagnostic Tool for Retinopathy of Prematurity
by: Omneya Attallah
Published: (2021-11-01)

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)

Diabetic Retinopathy Progression Prediction Using a Deep Learning Model
by: Hanan A. Hosni Mahmoud
Published: (2022-11-01)

Convolutional Neural Networks and Transfer Learning Based Classification of Natural Landscape Images
by: Damir Krstinić, et al.
Published: (2020-02-01)

Transfer Learning for Automatic Image Orientation Detection Using Deep Learning and Logistic Regression
by: Ayoub Benali Amjoud, et al.
Published: (2022-01-01)

Dive Into Deep Learning Based Automatic Modulation Classification: A Disentangled Approach
by: Xiaolei Shang, et al.
Published: (2020-01-01)

Smart phone based automated diabetic retinopathy detection system
by: S. Anitha, et al.
Published: (2024-02-01)

AUTOMATIC MODULATION CLASSIFICATION USING DEEP LEARNING POLAR FEATURE
by: Ali H. Shah, et al.
Published: (2023-07-01)

Automatic glaucoma detection based on transfer induced attention network
by: Xi Xu, et al.
Published: (2021-04-01)

Severity Grading and Early Retinopathy Lesion Detection through Hybrid Inception-ResNet Architecture
by: Sana Yasin, et al.
Published: (2021-10-01)

Texture Attention Network for Diabetic Retinopathy Classification
by: Mohammad D. Alahmadi
Published: (2022-01-01)

Automatic Jordanian License Plate Detection and Recognition System Using Deep Learning Techniques
by: Tharaa Aqaileh, et al.
Published: (2023-09-01)

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

A preliminary study of a deep learning-assisted diagnostic system with an artificial intelligence for detection of diabetic retinopathy
by: Ming Weng, et al.
Published: (2018-02-01)

Balancing Data through Data Augmentation Improves the Generality of Transfer Learning for Diabetic Retinopathy Classification
by: Zahra Mungloo-Dilmohamud, et al.
Published: (2022-05-01)

A Prospective Study on Diabetic Retinopathy Detection Based on Modify Convolutional Neural Network Using Fundus Images at Sindh Institute of Ophthalmology & Visual Sciences
by: Awais Bajwa, et al.
Published: (2023-01-01)

An Automatic Detection and Classification System of Five Stages for Hypertensive Retinopathy Using Semantic and Instance Segmentation in DenseNet Architecture
by: Qaisar Abbas, et al.
Published: (2021-10-01)

Deep semi-supervised learning for automatic segmentation of inferior alveolar nerve using a convolutional neural network
by: Ho-Kyung Lim, et al.
Published: (2021-12-01)

Automated Diagnosis of Diabetic Retinopathy Using Deep Learning: On the Search of Segmented Retinal Blood Vessel Images for Better Performance
by: Mohammad B. Khan, et al.
Published: (2023-03-01)

Untangling Computer-Aided Diagnostic System for Screening Diabetic Retinopathy Based on Deep Learning Techniques
by: Muhammad Shoaib Farooq, et al.
Published: (2022-02-01)

Deep Learning Models for Automated Diagnosis of Retinopathy of Prematurity in Preterm Infants
by: Yo-Ping Huang, et al.
Published: (2020-09-01)

Classification of Diabetic Retinopathy Severity Based on GCA Attention Mechanism
by: Binhua Yang, et al.
Published: (2022-01-01)