Exudate Detection for Diabetic Retinopathy Using Pretrained Convolutional Neural Networks

Complexity- Egypt

doi 10.1155/2020/5801870

Full Text

Abstract

Available in

Date

Authors

Publisher

Hindawi Limited

Related search

Diabetic Retinopathy Classification Using an Efficient Convolutional Neural Network

2019English

Fungus Detection Using Convolutional Neural Networks

International Journal of Scientific Research in Computer Science, Engineering and Information Technology
2019German

Neonatal Seizure Detection Using Deep Convolutional Neural Networks

International Journal of Neural Systems
MedicineComputer NetworksCommunications
2019German

“Texting & Driving” Detection Using Deep Convolutional Neural Networks

Applied Sciences (Switzerland)
InstrumentationMaterials ScienceFluid FlowEngineeringComputer Science ApplicationsProcess ChemistryTransfer ProcessesTechnology
2019English

Malware Detection Using 1-Dimensional Convolutional Neural Networks

2019Italian

Artificial Neural Networks Based Decision Support System for the Detection of Diabetic Retinopathy

Sakarya University Journal of Science
2020English

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

IEEE Journal of Biomedical and Health Informatics
Health Information ManagementBiotechnologyComputer Science ApplicationsElectricalElectronic Engineering
2018English

Tsallis Entropy and Sparse Reconstructive Dictionary Learning for Exudate Detection in Diabetic Retinopathy

Journal of Medical Imaging
Nuclear MedicineRadiologyImaging
2017English

Subject:Specific Detection of Ventricular Tachycardia Using Convolutional Neural Networks

2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy