Computer Science
Deep Learning Method
100%
Unlabeled Data
48%
Deep Learning Model
43%
Mean Filter
41%
Semisupervised Learning
40%
Data Distribution
31%
Preprocessing Stage
31%
Image Classification
27%
Unsharp Masking
24%
Convolutional Neural Network
23%
Tracking System
20%
Convolutional Network
20%
Cell Segmentation
20%
Parallelization
20%
Learning System
17%
Machine Learning
17%
Computational Cost
17%
de-noising
17%
Binary Classification
16%
Model Accuracy
16%
segmentation accuracy
15%
Use Case
15%
Image Enhancement
15%
Multi Class Classification
13%
Multiclass Classification
13%
Classification Task
13%
Learning Approach
13%
Varying Degree
12%
Weighted Averaging
12%
Cluster Analysis
10%
Coefficient of Variation
10%
Neural Network Architecture
10%
Transfer Learning
10%
Data Augmentation
10%
Performance Degradation
10%
Object Detection
10%
Interpretability
10%
Fast Fourier Transform
10%
Integral Image
10%
Moving Average
10%
classification result
10%
Data Quality Metric
10%
Image Contrast
10%
Broadcast Video
10%
Uncertainty Estimation
10%
Preprocessing Technique
10%
DenseNet
10%
Histopathological Image
10%
Multiple Process
10%
Multiple Thread
10%
Engineering
Final State
41%
Local Mean
31%
Convolutional Neural Network
31%
Collected Data
31%
Image Enhancement
15%
Individual Cell
10%
Nonlinear Filter
10%
Accuracy Improvement
10%
Learning Approach
10%
Far Cell
10%
Output Transformer
10%
Cell Concentration
10%
Fast Fourier Transform
10%
Brain Tissue
10%
Target Data
10%
Text Data
10%
Chemotherapy
10%
Microbiologist
10%
Image Classification
10%
Angular Resolution
10%
Radiative Transition
10%
Branching Ratio
10%
Resonant Structure
10%
Energy Engineering
10%
Phase Space
10%
Deep Learning Method
10%
Resource Usage
10%
Nanosecond
10%
Applicability
10%
Computational Cost
10%
Tracking Algorithm
10%
Autoencoder
10%
Network Model
7%
Edge Enhancement
7%
Optimization Approach
6%
Classical Method
5%
Contour Method
5%
Consuming Process
5%
Active Contour
5%
Climatic Condition
5%
Mode Signal
5%
Data Sample
5%
Confidence Level
5%
Conventional Method
5%
Classification
5%
Image Processing
5%
Video Signal
5%
Test Time
5%
Conducted Experiment
5%
Space Representation
5%
