Classification of Diabetic Retinopathy Grade Based on G-ENet Convolutional Neural Network Model: Convolutional Neural Networks are Used to Solve the Problem of Diabetic Retinopathy Grade Classification.
Liping GuTongyan LiJiyong HePublished in: EITCE (2023)
Keyphrases
- neural network model
- classification accuracy
- support vector machine svm
- support vector
- machine learning
- diabetic retinopathy
- convolutional neural networks
- feature extraction
- neural network
- feature selection
- decision trees
- text classification
- classification rules
- multi layer perceptron
- feature space
- image segmentation
- data mining