Keyphrases
Age Values
16%
Automated System
33%
Automatic Bone Age
100%
Bone Age
33%
Bone Age Assessment
100%
Bone Evaluation
33%
Canny Edge Detection
16%
Child Growth
16%
Convolutional Neural Network Model
16%
Deep Learning Methods
50%
Deep Machine Learning
100%
Error Percentage
16%
Evaluation Metrics
16%
Growth Status
16%
Hand X-ray
16%
Image Features
16%
Left-handed
16%
Machine Learning Approach
100%
Mean Absolute Error
33%
MobileNet
16%
Pediatricians
16%
Pre-trained Convolutional Neural Networks
16%
Radiologists
16%
Rapid Growth
16%
Regressor
16%
Reliability Prediction
16%
Root Mean Square Error
33%
Symmetric Mean Absolute Percentage Error
33%
Time Execution
33%
Traditional Machine Learning
100%
VGG16
33%
VGG16 Model
16%
X-ray Images
16%
Computer Science
Convolutional Neural Network
20%
Deep Learning Method
100%
Edge Detection
20%
Evaluation Metric
20%
Execution Time
40%
image feature
20%
Learning Approach
20%
Learning System
40%
Machine Learning
40%
Machine Learning Approach
100%
Mean Absolute Error
40%
Neural Network Model
20%
Root Mean Squared Error
40%
VGG16
60%
Engineering
Automated System
33%
Convolutional Neural Network
16%
Deep Learning Method
100%
Edge Detection
16%
Execution Time
33%
Learning Approach
100%
Learning System
100%
Mean Absolute Error
33%
Metrics
16%
Network Model
16%
Radiologist
16%
Regressors
16%
Root-Mean-Squared Error
33%
Chemical Engineering
Deep Learning Method
100%
Learning System
100%
Neural Network
16%