Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learning

Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learning

Abstract Background 18-Fluoro-deoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) is a valuable imaging tool widely used in the management of cancer patients. Deep learning models excel at segmenting highly metabolic tumors but face challenges in regions with complex anatomy a...

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Bibliographic Details
Main Authors: Mahsa Torkaman, Skander Jemaa, Jill Fredrickson, Alexandre Fernandez Coimbra, Alex De Crespigny, Richard A. D. Carano
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Medical Imaging
Subjects:
FDG-PET/CT
Intestinal tumors
Segmentation
Data homogeneity
Deep learning
Online Access:https://doi.org/10.1186/s12880-025-01587-3
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