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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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| izdano v: | Radiol Artif Intell |
|---|---|
| Main Authors: | , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Radiological Society of North America
2021
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| Teme: | |
| Online dostop: | 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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