Keyphrases
Tumor Segmentation
100%
Neuroendocrine Neoplasms
100%
Convolutional Neural Network
100%
DOTATATE PET
100%
Clinical MRI
100%
Lesion Delineation
100%
Segmentation Model
100%
Large-scale Assessment
100%
Positron Emission Tomography-computed Tomography (PET-CT)
100%
MS Lesions
100%
Agnostic
100%
NnU-Net
54%
Manual Adjustment
42%
Ensemble Model
42%
T2-w
40%
Unseen
40%
Ground Truth Segmentation
28%
Artificial Intelligence Models
28%
Artificial Intelligence
28%
Biomedical Segmentation
20%
Model Robustness
20%
Heterogeneous Training
20%
Detection-estimation
20%
Manual Workload
20%
Segmentation Challenge
20%
Clinical Implementation
20%
MRI Modalities
20%
Clinical Examination
20%
Inclusion Criteria
20%
Disease Course
20%
Lesion Size
20%
Automatic Lesion Segmentation
20%
Training Data
20%
Clinical Datasets
20%
Manual Correction
20%
Routine Examination
20%
Lesion Detection
20%
Size Estimation
20%
Radiologists
20%
Segmentation Performance
20%
Fluid-attenuated Inversion Recovery (FLAIR)
20%
Patient Cohort
20%
MRI Protocol
20%
White Matter Lesions
20%
Heterogeneous Data
20%
Popular
20%
Artificial Intelligence Network
14%
Lung Neuroendocrine Neoplasms
14%
Final Model
14%
Negative Control
14%
Medicine and Dentistry
Copper 64
100%
Neuroendocrine Tumor
100%
Neoplasm
100%
Positron Emission Tomography-Computed Tomography
100%
Intelligence
28%
Prognostication
14%
Clinical Imaging
14%
Cross-Validation
14%
Positron Emission Tomography
14%