Machine learning & deep learning algorithm reviews for diabetic retinopathy detection
Author:
Affiliation:
1. KJSIEIT,Dept. of EXTC,Mumbai,India
2. TSEC,Dept. of EXTC,Mumbai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10038979/10039478/10039518.pdf?arnumber=10039518
Reference27 articles.
1. Theoretical analysis of the max/Median filter
2. Associations between Macular OCT Angiography and Nonproliferative Diabetic Retinopathy in Young Patients with Type 1 Diabetes Mellitus
3. Classification of Diabetic Retinopathy based on Hybrid Neural Network
4. Convolutional Neural Network for Diabetic Retinopathy Detection
5. Efficient Classification of Diabetic Retinopathy using BinaryCNN;Kolla
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Survey on Optical Coherence Tomography;2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI);2023-12-10
2. Diabetic Retinopathy Detection Using Hybrid CNN - SVM Model;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15
3. Identification of Suitable Machine Learning or Deep Learning Algorithmfor Diabetic Retinopathy Detection;2023 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2023-07-07
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