Computer Science
Experimental Result
100%
Convolutional Neural Network
65%
Ultrasound Image
43%
Image Segmentation
42%
Deep Learning Method
31%
Virtual Reality
23%
Training Data
23%
de-noising
22%
Graphics Processing Unit
21%
Surgical Simulation
21%
Fully Convolutional Network
21%
Attention (Machine Learning)
20%
Feature Extraction
17%
Vessel Segmentation
17%
Deep Convolutional Neural Networks
16%
Segmentation Performance
16%
Haptic Feedback
16%
Superior Performance
15%
Recurrent Neural Network
15%
Simulation System
14%
Regularization
14%
Deformable Model
14%
Segmentation Task
14%
Training System
14%
Computer Interface
13%
Image Quality
13%
Feature Map
13%
Orthopedic Surgery
12%
Least Squares Methods
12%
Annotation
12%
Classification Performance
12%
Lesion Segmentation
12%
Deep Neural Network
12%
Learning Framework
11%
segmentation accuracy
11%
Speckle Reduction
11%
Tumor Segmentation
11%
Representation Learning
11%
Neural Network
10%
Discriminator
10%
Haptic Rendering
9%
Computational Complexity
9%
Network Architecture
9%
Needle Insertion
9%
Virtual Environments
8%
Traditional Method
8%
Discrimination Capability
8%
Medical Applications
8%
Receptive Field
8%
Temporal Feature
8%
Keyphrases
State-of-the-art Techniques
41%
Virtual Reality
26%
Convolutional Neural Network
24%
Surgical Simulation
21%
Deep Learning Methods
21%
Challenging Tasks
21%
Ultrasound Image
20%
Hong Kong
18%
Brain-computer Interface
17%
Short-term Traffic Flow Prediction
16%
Magnetic Resonance Imaging
16%
Standard Plane
15%
Mesh Denoising
14%
Ultrasound
14%
Randomized Controlled Trial
14%
Speckle Noise
13%
Deep Learning
13%
Learning-based
13%
Radiologists
13%
Haptic Feedback
12%
Orthopedic Surgery
12%
Chinese Women
12%
Segmentation Problem
12%
Feature Preserving
12%
Multi-task
12%
Support Matrix Machine
12%
COVID-19
11%
Medical Image Segmentation
11%
Hong Kong Chinese
11%
Segmentation Performance
11%
Deep Convolutional Neural Network (deep CNN)
11%
Challenging Problems
10%
Benchmark Dataset
10%
Deformable Models
10%
CT Images
10%
Cascaded Network
10%
Ultrasound Volume
10%
Needle Insertion
10%
Classification Performance
10%
Traffic Flow Forecasting
10%
Motor Imagery
9%
Prostate
9%
Haptic Rendering
9%
Liver
9%
Skin Lesion Segmentation
9%
U-Net
9%
Image Quality
9%
Computer-aided Diagnosis (CADx)
9%
Superior Performance
9%
Anatomical Structure
9%