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Automated L3 Skeletal Muscle Segmentation for Evaluation of Sarcopenia: Development and Independent Validation of an Ensemble-Based 2D nnU-Net Pipeline in a Complex Liver Disease Cohort

2026-02-26

Abstract excerpt

<h4>Purpose: </h4> To develop a fully automated 2D nnU-Net pipeline for multi-class skeletal muscle segmentation (psoas, paraspinal, and abdominal wall) at the third lumbar (L3) vertebral level, and to quantitatively evaluate its diagnostic performance and reliability compared to manual segmentation. <h4>Materials and Methods:</h4> A 2D nnU‑Net was trained on 164 axial L3 CT slices from the multi-institutional AMO...

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Literature Corpus work
88efc2d2-8ff6-59ca-a632-acf5a6af10df
DOI
10.20944/preprints202602.1774.v1
Open publication

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Automated L3 Skeletal Muscle Segmentation for Evaluation of Sarcopenia: Development and Independent Validation of an Ensemble-Based 2D nnU-Net Pipeline in a Complex Liver Disease CohortDOI 10.20944/preprints202602.1774.v1
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