Deep Learning-Based 3D and 2D Approaches for Skeletal Muscle Segmentation on Low-Dose CT Images.

Automated segmentation of skeletal muscle from computed tomography (CT) images is essential for large-scale quantitative body composition analysis. However, manual segmentation is time-consuming and impractical for routine or high-throughput use. This study presents a systematic comparison of two-di...

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Bibliographic Details

Published in:	Journal of Imaging Informatics in Medicine Vol. 39; no. 3; pp. 2110 - 2123
Main Authors:	Timpano, Giuseppe, Veltri, Pierangelo, Vizza, Patrizia, Cascini, Giuseppe Lucio, Manti, Francesco
Format:	diagnostic images equations & formulas research tables/charts Journal Article
Published:	Springer Nature Jun2026
Online Access:	View this record in EBSCOhost