Automatic Detection and Classification of Diabetic Retinopathy Using the Improved Pooling Function in the Convolution Neural Network
Diabetic retinopathy (DR) is an eye disease associated with diabetes that can lead to blindness. Early diagnosis is critical to ensure that patients with diabetes are not affected by blindness. Deep learning plays an important role in diagnosing diabetes, reducing the human effort to diagnose and cl...
Main Authors: | Usharani Bhimavarapu, Nalini Chintalapudi, Gopi Battineni |
---|---|
פורמט: | Article |
שפה: | English |
יצא לאור: |
MDPI AG
2023-08-01
|
סדרה: | Diagnostics |
נושאים: | |
גישה מקוונת: | https://www.mdpi.com/2075-4418/13/15/2606 |
פריטים דומים
-
Automatic Detection and Classification of Hypertensive Retinopathy with Improved Convolution Neural Network and Improved SVM
מאת: Usharani Bhimavarapu, et al.
יצא לאור: (2024-01-01) -
Automatic Classification of Hypertensive Retinopathy by Gray Wolf Optimization Algorithm and Naïve Bayes Classification
מאת: Usharani Bhimavarapu, et al.
יצא לאור: (2023-06-01) -
Automatic Diabetic Retinopathy Diagnosis Using Adaptive Fine-Tuned Convolutional Neural Network
מאת: Fahman Saeed, et al.
יצא לאור: (2021-01-01) -
Multi-Classification of Lung Infections Using Improved Stacking Convolution Neural Network
מאת: Usharani Bhimavarapu, et al.
יצא לאור: (2023-09-01) -
Diabetic Retinopathy Classification With Deep Learning via Fundus Images: A Short Survey
מאת: Shanshan Zhu, et al.
יצא לאור: (2024-01-01)