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Automated interpretation of PET/CT images in patients with lung cancer
Henrik Gutte
, David Jakobsson
, Fredrik Olofsson
, Mattias Ohlsson
, Sven Valind
,
Annika Loft
, Lars Edenbrandt
,
Andreas Kjaer
Afdeling for Klinisk Fysiologi og Nuklearmedicin
12
Citationer (Scopus)
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Keyphrases
Lung Cancer
100%
CT Images
100%
Automated Interpretation
100%
Positron Emission Tomography/computed Tomography (PET/CT)
100%
Automated Method
80%
Artificial Neural Network
60%
Training Group
40%
Tomography Image
40%
Lung
40%
Image Processing Techniques
40%
Lung Cancer Staging
20%
Image Interpretation
20%
18F-fluorodeoxyglucose Positron Emission Tomography (18F-FDG PET)
20%
Lesion Localization
20%
Computed Tomography Examination
20%
Area under the Receiver Operating Characteristic (AUROC)
20%
Feature Extraction Methods
20%
Consensus Interpretation
20%
Clinical Decision Support Tool
20%
Emission-computed
20%
Experienced Doctor
20%
Lung Cancer Diagnosis
20%
Neuroscience
Positron Emission Tomography
100%
Neural Network
100%
Computed Tomography
100%
Positron Emission Tomography-Computed Tomography
100%
Image Processing
66%