Automatic segmentation of large-scale CT image datasets for detailed body composition analysis

Automatic segmentation of large-scale CT image datasets for detailed body composition analysis

Abstract Background Body composition (BC) is an important factor in determining the risk of type 2-diabetes and cardiovascular disease. Computed tomography (CT) is a useful imaging technique for studying BC, however manual segmentation of CT images is time-consuming and subjective. The purpose of th...

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Bibliographic Details
Main Authors: Nouman Ahmad, Robin Strand, Björn Sparresäter, Sambit Tarai, Elin Lundström, Göran Bergström, Håkan Ahlström, Joel Kullberg
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BMC Bioinformatics
Subjects:
Deep learning
Segmentation
Medical imaging
Computed tomography
Body composition
Online Access:https://doi.org/10.1186/s12859-023-05462-2

Internet

https://doi.org/10.1186/s12859-023-05462-2

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