Keyphrases
Magnetic Resonance Imaging
100%
Liver Volumetry
100%
Dice Similarity Coefficient
75%
T2-weighted Imaging (T2WI)
50%
Normalized Root Mean Square Error
50%
Liver Volume
50%
Scout Image
50%
Convolutional Neural Network
50%
Water Image
50%
Clinical Application
25%
Tesla
25%
MRI Scan
25%
Research Application
25%
Pediatric Obesity
25%
Adolescents with Obesity
25%
Intraclass Correlation Coefficient
25%
Manual Segmentation
25%
Automated Method
25%
Inter-reader Variability
25%
State-of-the-art Techniques
25%
T1-T2
25%
Image Type
25%
Liver Fat
25%
Bland-Altman Analysis
25%
Hausdorff Distance
25%
T2-low
25%
Segmentation Performance
25%
Abdominal MRI
25%
Liver Segmentation
25%
Dixon Imaging
25%
U-Net
25%
Convolutional Neural Network Model
25%
Multiple Convolutional Neural Networks
25%
Volume Accuracy
25%
Obesity Intervention
25%
Whole Liver
25%
Engineering
Similarities
100%
Convolutional Neural Network
100%
Root Mean Square Error
66%
Fat Image
66%
Tesla Roadster
33%
Comparable Result
33%
State-of-the-Art Method
33%
Input Image
33%
Network Model
33%
Nursing and Health Professions
Volumetry
100%
Neural Network
100%
Liver Weight
66%
Imaging
33%
Nuclear Magnetic Resonance Imaging
33%
Adolescent
33%
Correlation Coefficient
33%
Fatty Liver
33%
Childhood Obesity
33%
Earth and Planetary Sciences
Root-Mean-Square Error
100%
State of the Art
50%
Correlation Coefficient
50%
Adolescent
50%
U-Net
50%
Medicine and Dentistry
Volumetry
100%
Magnetic Resonance Imaging
50%
Fatty Liver
50%
Pediatric Obesity
50%
Neuroscience
Neural Network
100%
Magnetic Resonance Imaging
100%
Magnetic Resonance Imaging
33%