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Automated Segmentation of Abdominal Skeletal Muscle on Pediatric CT Scans Using Deep Learning

PURPOSE: To automate skeletal muscle segmentation in a pediatric population using convolutional neural networks that identify and segment the L3 level at CT. MATERIALS AND METHODS: In this retrospective study, two sets of U-Net–based models were developed to identify the L3 level in the sagittal pla...

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Bibliografski detalji
Izdano u:Radiol Artif Intell
Glavni autori: Castiglione, James, Somasundaram, Elanchezhian, Gilligan, Leah A., Trout, Andrew T., Brady, Samuel
Format: Artigo
Jezik:Inglês
Izdano: Radiological Society of North America 2021
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8043356/
https://ncbi.nlm.nih.gov/pubmed/33937859
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2021200130
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