Keyphrases
Image Data
100%
Support Vector Machine
100%
Fundus Image
100%
Diabetic Retinopathy
100%
Convolutional
100%
Classification Process
37%
Data Augmentation
25%
Support Vector Machine Model
25%
CNN Methods
12%
Learning Process
12%
Feature Extraction Methods
12%
Early Detection
12%
Patients with Diabetes
12%
Resizing
12%
Blindness
12%
Diagnostic Process
12%
Diabetes Mellitus Complications
12%
Computer-aided Diagnosis (CADx)
12%
Feature Classification
12%
Training Time
12%
Process-based
12%
Convolutional Features
12%
Chronic Diabetes
12%
Single Unit
12%
Class Classification
12%
SVM Method
12%
Diabetic Retinopathy Classification
12%
Machine Process
12%
Computer Science
Support Vector Machine
100%
Convolutional Neural Network
66%
Classification Process
33%
Data Augmentation
22%
Extraction Process
11%
Early Detection
11%
Learning Process
11%
Preprocessing Step
11%
Aided Diagnosis
11%
Diagnostic Process
11%
Existing Architecture
11%
Class Classification
11%
Feature Extraction
11%
Mathematics
Support Vector Machine
100%
Image Data
100%
Convolutional Neural Network
75%
Diagnostic Process
12%
Medicine and Dentistry
Diabetic Retinopathy
100%
Diabetes
50%
Diagnosis
25%
Complications of Diabetes Mellitus
25%
Computer-Aided Diagnosis
25%
Diabetic Retinopathy Classification
25%
Feature Extraction
25%
Nursing and Health Professions
Diabetic Retinopathy
100%
Support Vector Machine
100%
Diabetes Mellitus
12%
Diagnosis
12%
Feature Extraction
12%
Pharmacology, Toxicology and Pharmaceutical Science
Diabetic Retinopathy
100%
Diabetes Mellitus
20%