Keyphrases
PET Image
100%
Deep Learning
100%
High Count Rate
100%
Preclinical PET
100%
Deep Learning Framework
100%
Low Counts
100%
U-Net
57%
Quantitative Accuracy
28%
Photon Counting
28%
Low-count PET
28%
Biological Processes
14%
Standardized Uptake Value
14%
Coefficient of Variation
14%
Image Quality
14%
Metabolic Processes
14%
Tumor-like Lesions
14%
Tracer Study
14%
Dynamic PET
14%
Visual Quality
14%
Acquisition Time
14%
Low Signal-to-noise Ratio
14%
Liver Lesions
14%
Low Contrast
14%
Injected Dose
14%
Small Animal Imaging
14%
Peak Signal to Noise Ratio
14%
Receptive Field
14%
SUVmean
14%
Structural Similarity Index
14%
Normalized Root Mean Square Error
14%
Objective Evaluation
14%
Lesion Contrast
14%
Feature Enhancement
14%
Non-local Means
14%
Low Bias
14%
Physics-based Method
14%
Multi-tracer
14%
Multi-scale Context
14%
Increased Throughput
14%
Feature Propagation
14%
Residual Learning
14%
Denoising Techniques
14%
BM3D
14%
Computer Science
Learning Framework
100%
Deep Learning Method
100%
U-Net
50%
Noise-to-Signal Ratio
12%
Acquisition Time
12%
Image Quality
12%
peak signal to noise ratio
12%
de-noising
12%
Structural Similarity
12%
Learning Approach
12%
Visual Quality
12%
Coefficient of Variation
12%
Receptive Field
12%
Neuroscience
Positron Emission Tomography
100%
Signal-to-Noise Ratio
20%
Positron Emission Tomography
10%
In Vivo
10%
Receptive Field
10%
Earth and Planetary Sciences
Polyethylene Terephthalate
100%
Root-Mean-Square Error
9%
Field of View
9%
Similarity Index
9%
Tracer Study
9%
Veterinary Science and Veterinary Medicine
Small Animal Imaging
100%
Agricultural and Biological Sciences
Polyethylene Terephthalate
100%