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Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography
OBJECTIVE: We aimed to develop and validate a deep learning system for fully automated segmentation of abdominal muscle and fat areas on computed tomography (CT) images. MATERIALS AND METHODS: A fully convolutional network-based segmentation system was developed using a training dataset of 883 CT sc...
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| 出版年: | Korean J Radiol |
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| 主要な著者: | , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The Korean Society of Radiology
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6960305/ https://ncbi.nlm.nih.gov/pubmed/31920032 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3348/kjr.2019.0470 |
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