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Deep learning segmentation of gadolinium enhancing lesions in multiple sclerosis
OBJECTIVE: To assess the performance of deep learning convolutional neural networks (CNNs) in segmenting gadolinium-enhancing lesions using a large cohort of multiple sclerosis (MS) patients. METHODS: A 3D CNN model was trained for segmentation of gadolinium-enhancing lesions using multispectral mag...
Tallennettuna:
| Julkaisussa: | Mult Scler |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7680286/ https://ncbi.nlm.nih.gov/pubmed/32442043 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1352458520921364 |
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