Computer Science
Deep Learning Method
100%
Experimental Result
83%
Computer Vision
50%
Attention Deficit Disorder
33%
Structural Feature
33%
Manual Selection
33%
Variable Number
33%
Sufficient Number
33%
Performance Degradation
33%
Aided Diagnosis
33%
Quantitative Evaluation
33%
Medical Domain
33%
Hamiltonian Path
33%
Texture Pattern
33%
Deep Learning Model
33%
Tumor Detection
33%
Organizing Map
33%
Soft Computing
33%
Segmentation Technique
33%
Registration Error
33%
Security Screening
33%
Threat Detection
33%
Interpretability
33%
Authentication Method
33%
Matching Score
33%
Dimensional Data
33%
Authentication Technique
33%
Superior Performance
33%
Multimodality
33%
Biometrics
33%
Recognition Performance
33%
Information Retrieval
33%
Biometric Trait
33%
Annotation
33%
Failure Analysis
33%
Registration Process
33%
Supervised Learning
33%
Feature Vector
33%
Connected Graph
33%
Covariance Matrix
33%
Biometric Authentication
33%
Artificial Intelligence
33%
Pose Variation
33%
Cultural Heritage
33%
Class Imbalance
16%
Mental Health Problem
16%
Clinical Setting
16%
Image Sequence
16%
Texture Analysis
16%
Instance Segmentation
16%
Engineering
System Diagnostics
66%
Deep Learning Method
50%
Nodes
33%
Recurrent
33%
Self-Organizing Map
33%
Efficient Model
33%
Mean Clustering Algorithm
33%
Gaussian Function
33%
Early Stage
33%
Bayesian Classifier
33%
Gabor Wavelet
33%
Illustrates
33%
Naked Eye
33%
Complete Model
33%
Systems Performance
33%
Maximization
33%
Data Sample
33%
Based Segmentation Technique
33%
Convolutional Neural Network
33%
Flat Surface
33%
Dimensional Data
33%
Medical Domain
33%
Experimental Result
25%
State-of-the-Art Method
25%
Radiologist
23%
Quantitative Evaluation
16%
Computer Aided Diagnosis
16%
Classification Network
16%
Performance Degradation
16%
Limitations
16%
Potential Application
16%
Vector Quantization
8%
Automated System
8%
Weight Vector
8%
Computervision
6%
Texture Analysis
6%
Local Neighborhood
6%
Limited Amount
6%
Human Life
6%
Multipath
6%
Structural Similarity
6%
Good Performance
6%
Transfer Learning
6%
Similarities
6%
Image Sequence
6%
