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Keyphrases
Feature Extraction Methods
100%
Transformer-based
100%
Vision Transformer
100%
Shape Features
100%
Retinal Disease Detection
100%
Hybrid Feature Extraction
100%
Texture Features
100%
Deep Learning Model
66%
Shape-based
66%
End-to-end Deep Learning
66%
Classification Accuracy
33%
Learning-based
33%
Distinctive Features
33%
Feature Extraction
33%
Convolutional Neural Network
33%
Transfer Learning
33%
F1 Score
33%
Precision-recall
33%
Texture Information
33%
Convolutional Neural Network Model
33%
Classification Model
33%
Precision Score
33%
Recall Score
33%
Accuracy Score
33%
ResNet50
33%
Vision Transformer Model
33%
Texture-based
33%
Current Advancement
33%
InceptionV3
33%
Myopic Choroidal Neovascularization (mCNV)
33%
Inception-ResNet
33%
Diabetic Macular Edema
33%
Detection Task
33%
Optical Coherence Tomography Images
33%
Fusion Model
33%
Long Distance
33%
Drusen
33%
Feature Learning
33%
Model Robustness
33%
Computer Science
Convolutional Neural Network
100%
Vision Transformer
100%
Deep Learning Model
100%
Feature Extraction
100%
Convolution
100%
Neural Network Model
50%
Classification Models
50%
Representation Learning
50%
Transfer Learning
50%
Residual Neural Network
50%
Individual End
50%
Classification Accuracy
50%
Texture Information
50%
Inception V3
50%
Texture Feature
50%
Weighted Average
50%
Transformer Model
50%
Engineering
Feature Extraction
100%
Deep Learning Method
100%
Convolutional Neural Network
100%
Isolation Method
100%
Detection Task
50%
Classification Accuracy
50%
Texture Feature
50%
Texture Information
50%
Network Model
50%
Transfer Learning
50%
Resnet
50%
Chemical Engineering
Deep Learning Method
100%
Neural Network
100%
Pattern Recognition
100%
Feature Extraction
100%
Transfer of Learning
50%
Transfer Learning
50%
Neuroscience
Neural Network
100%
Choroidal Neovascularization
50%