Keyphrases
3D Segmentation
16%
Auto-segmentation
33%
Calibrated Confidence Interval
16%
Calibration Error
66%
Calibration Uncertainty
16%
Cancer Patients
16%
Cancer Site
16%
Confidence Calibration
16%
Confidence Level
16%
Deep Learning
33%
Deep Learning Methods
100%
Dice Similarity Coefficient
100%
Estimation Method
50%
Holdout
16%
Multimodal Images
100%
Neck Tumor
100%
NnU-Net
16%
Nodal Metastasis
50%
Nontumor
16%
Overconfident Prediction
16%
Positron Emission Tomography-computed Tomography (PET-CT)
16%
Potential Errors
16%
Primary Tumor
16%
Segmentation Accuracy
33%
Segmentation Error
33%
T1-T2
16%
T1-weighted MRI
16%
T2-weighted MRI
16%
Tumor Region
16%
Tumor Segmentation
100%
Uncertainty Error
50%
Uncertainty Estimation
100%
Visualization Map
16%
Engineering
Collected Data
16%
Confidence Interval
16%
Confidence Level
16%
Conventional Method
16%
Deep Learning Method
100%
Main Result
16%
Potential Error
16%
Similarities
100%
Test Dataset
16%
Pharmacology, Toxicology and Pharmaceutical Science
Head and Neck Cancer
100%
Head and Neck Tumor
100%
Polyethylene Terephthalate
33%
Primary Tumor
33%
Neuroscience
Magnetic Resonance Imaging
100%
Positron Emission Tomography-Computed Tomography
100%
Earth and Planetary Sciences
Confidence Interval
33%
Estimation Method
100%
Polyethylene Terephthalate
33%