Keyphrases
Deep Neural Network
100%
Scale Invariant
100%
Response Evaluation Criteria in Solid Tumors (RECIST)
100%
Lung Lesions
100%
Lesion Segmentation
100%
Boundary-aware
100%
Automatic 3D Segmentation
100%
Tumor Slices
75%
Clinical Trials
50%
Dice Similarity Coefficient
50%
Deep Convolutional Network
50%
Clinical Application
25%
Segmentation Algorithm
25%
Multiple Time Points
25%
Machine Learning
25%
Diameter Measurement
25%
Kinetic Model
25%
Longitudinal Assessment
25%
Large Database
25%
Computed Tomography
25%
Small Combination of Slices
25%
Type of Analysis
25%
3D Segmentation
25%
Manual Segmentation
25%
Growth Kinetics
25%
Lesion Volume
25%
Size Change
25%
Scale Usage
25%
Semi-supervised Method
25%
Pixel-wise
25%
Lesion Growth
25%
Segmentation Accuracy
25%
Size Transition
25%
Volumetric Segmentation
25%
Radiomics
25%
2D Segmentation
25%
Lesion Delineation
25%
Computer Science
Deep Neural Network
100%
Lesion Segmentation
100%
Invariant
100%
Evaluation Criterion
100%
Convolutional Neural Network
50%
Manual Segmentation
25%
segmentation algorithm
25%
segmentation accuracy
25%
Clinical Routine
25%
Experimental Result
25%
Machine Learning
25%
Learning System
25%
Engineering
Similarities
100%
Deep Neural Network
100%
Experimental Result
50%
Clinical Routine
50%
Growth Kinetics
50%
Learning System
50%