AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients

AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients

Abstract Background [18F]-fluorodeoxyglucose (FDG) positron emission tomography with computed tomography (PET-CT) is a well-established modality in the work-up of patients with suspected or confirmed diagnosis of lung cancer. Recent research efforts have focused on extracting theragnostic and textur...

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Bibliographic Details
Main Authors: Pablo Borrelli, John Ly, Reza Kaboteh, Johannes Ulén, Olof Enqvist, Elin Trägårdh, Lars Edenbrandt
Format: Article
Language:English
Published: SpringerOpen 2021-03-01
Series:EJNMMI Physics
Subjects:
AI
FDG
PET-CT
Lung cancer
Segmentation
Automatic
Online Access:https://doi.org/10.1186/s40658-021-00376-5

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