CompositIA: an open-source automated quantification tool for body composition scores from thoraco-abdominal CT scans

CompositIA: an open-source automated quantification tool for body composition scores from thoraco-abdominal CT scans

Abstract Background Body composition scores allow for quantifying the volume and physical properties of specific tissues. However, their manual calculation is time-consuming and prone to human error. This study aims to develop and validate CompositIA, an automated, open-source pipeline for quantifyi...

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Bibliographic Details
Main Authors: Raffaella Fiamma Cabini, Andrea Cozzi, Svenja Leu, Benedikt Thelen, Rolf Krause, Filippo Del Grande, Diego Ulisse Pizzagalli, Stefania Maria Rita Rizzo
Format: Article
Language:English
Published: SpringerOpen 2025-01-01
Series:European Radiology Experimental
Subjects:
Body composition
Computed tomography
Deep learning
Open-source software
Segmentation
Online Access:https://doi.org/10.1186/s41747-025-00552-7
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https://doi.org/10.1186/s41747-025-00552-7

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