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Brain and lesion segmentation in multiple sclerosis using fully-convolutional neural networks: A large-scale study
OBJECTIVE: To investigate the performance of deep learning (DL) based on fully convolutional neural network (FCNN) in segmenting brain tissues in a large cohort of multiple sclerosis (MS) patients. METHODS: We developed a FCNN model to segment brain tissues, including T2-hyperintense MS lesions. The...
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| 出版年: | Mult Scler |
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| 主要な著者: | , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6908772/ https://ncbi.nlm.nih.gov/pubmed/31190607 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1352458519856843 |
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