Machine Learning-Based Diabetic Retinopathy Detection: A Comprehensive Study Using InceptionV3 Model
Author:
Affiliation:
1. MIT World Peace Univeristy,Computer Science and Engineering,Pune,India
2. MIT World Peace Univesity,Computer Science and Engineering,Pune,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10459226/10459347/10459541.pdf?arnumber=10459541
Reference12 articles.
1. Diabetic Retinopathy Classification Using CNN and Hybrid Deep Convolutional Neural Networks
2. An automated grading system for detection of vision-threatening referable diabetic retinopathy on the basis of color fundus photographs;Li;Diabetes Care,2019
3. Diabetic Retinopathy Detection Using Machine Learning;Aggarwal;International Journal of Engineering Research & Technology,2018
4. Automated Identification of Diabetic Retinopathy Using Deep Learning
5. A deep learning-based method for detection of diabetic retinopathy using retinal fundus images;Zou;Journal of Ophthalmology,2018
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