Computer Science
Image Segmentation
100%
Convolutional Neural Network
90%
Network Segmentation
65%
Annotation
54%
Language Modeling
36%
Domain Adaptation
32%
Constrained Optimization
31%
Inequality Constraint
29%
Unlabeled Data
29%
Foundation Model
28%
Deep Neural Network
27%
Medical Imaging
26%
Equality Constraint
22%
Semisupervised Learning
22%
Knowledge Distillation
21%
Regularization
20%
Machine Learning
19%
Learning System
19%
Image Classification
18%
segmentation accuracy
18%
Image Analysis
18%
Zero-Shot Learning
18%
Deep Learning Model
18%
Supervised Learning
17%
Mutual Information
16%
Superior Performance
16%
Segmentation Task
16%
Computer Vision
16%
Transfer Learning
15%
Deep Learning Method
15%
Segmentation Method
14%
Unsupervised Anomaly Detection
14%
Art Performance
14%
Unsupervised Domain Adaptation
13%
Shannon Entropy
13%
Recent Literature
13%
Approximation (Algorithm)
12%
Base Class
12%
Uncertainty Estimation
12%
Discriminator
12%
New-State
11%
Graph Cut
11%
Few-Shot Learning
11%
Lesion Segmentation
11%
Alternating Direction Method of Multipliers
10%
Prompt Learning
10%
Invariant Domain
10%
Generalizability
10%
Learning Approach
10%
Automatic Segmentation
10%
Keyphrases
Segmentation Network
51%
Medical Image Segmentation
41%
Popular
39%
Magnetic Resonance Imaging
36%
Label Smoothing
33%
Few-shot
29%
Image Segmentation
29%
Target Domain
28%
Comprehensive Experiment
28%
Convolutional Neural Network
28%
Inequality Constraints
28%
Weakly Supervised Segmentation
26%
Deep Neural Network
25%
Deep Network
24%
Cross-entropy
24%
Organs at Risk
24%
Domain Adaptation
23%
Foundation Models
23%
Adaptation
23%
Segmentation Problem
23%
Knowledge Distillation
21%
Unlabeled Data
21%
Publicly Available
21%
Radiotherapy
20%
Vision-language Models
20%
Linear Probe
19%
Source Domain
19%
Constrained Optimization
18%
Brain Image Segmentation
18%
Miscalibration
18%
Unsupervised Learning
17%
Logit
17%
Semantic Segmentation
16%
Domain Shift
16%
Equality Constraints
16%
Loss Function
16%
Transductive Inference
16%
Bladder Cancer
15%
Unsupervised Domain Adaptation
15%
U-Net
15%
Adapter
15%
Medical Image Analysis
15%
Attention Map
14%
Semi-supervised Segmentation
14%
Segmentation Accuracy
14%
Full Supervision
13%
3D Convolutional Neural Network (3D CNN)
13%
Dice Similarity Coefficient
13%
Uncertainty Estimation
13%
State-of-the-art Techniques
12%
