Keyphrases
Texture Classification
100%
Hysteroscopy
100%
Endometrium
100%
Statistical Features
100%
Multiscale Textures
100%
Gray Difference
57%
Difference Variables
57%
Computer-aided Diagnostic System
42%
Region of Interest
28%
Systems-based
28%
Support Vector Machine Model
28%
Dependence Matrix
28%
Gynecological Cancer
28%
Spatial Grey Level Dependence
28%
Feature Level
28%
Clinical Practice
14%
Early Detection
14%
Support Vector Machine
14%
Diagnostic Performance
14%
Texture Features
14%
Texture Analysis
14%
Y Channel
14%
YCrCb
14%
Difficult Cases
14%
Classification Score
14%
RGB Image
14%
Abnormal Region
14%
Neural Network Classifier
14%
Color System
14%
Endometrial Tissue
14%
Statistical Learning
14%
Probabilistic Neural Network
14%
Multiresolution Texture Analysis
14%
Engineering
Multiscale
100%
Grey Level
100%
Texture Classification
100%
Statistical Feature
66%
System Diagnostics
50%
Support Vector Machine
50%
Region of Interest
33%
Texture Analysis
33%
Early Detection
16%
Texture Feature
16%
RGB Image
16%
Agricultural and Biological Sciences
Hysteroscopy
100%
Endometrium
100%
Support Vector Machine
75%
Neural Network
50%
Mathematics
Grey Level
100%
Statistics
66%
Support Vector Machine
50%
Matrix (Mathematics)
33%
Neural Network
33%
RGB
16%
Chemical Engineering
Support Vector Machine
100%
Neural Network
66%