A systematic review of automated segmentation of 3D computed‐tomography scans for volumetric body composition analysis

Abstract Automated computed tomography (CT) scan segmentation (labelling of pixels according to tissue type) is now possible. This technique is being adapted to achieve three‐dimensional (3D) segmentation of CT scans, opposed to single L3‐slice alone. This systematic review evaluates feasibility and...

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Autori principali:	Dinh Van Chi Mai, Ioanna Drami, Edward T. Pring, Laura E. Gould, Phillip Lung, Karteek Popuri, Vincent Chow, Mirza F. Beg, Thanos Athanasiou, John T. Jenkins, the BiCyCLE Research Group
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Wiley 2023-10-01
Serie:	Journal of Cachexia, Sarcopenia and Muscle
Soggetti:	AI Body composition measurement Computed tomography Deep learning Sarcopenia Segmentation
Accesso online:	https://doi.org/10.1002/jcsm.13310
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