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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...
Gardado en:
| Publicado en: | Mult Scler |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2020
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| Assuntos: | |
| Acceso en liña: | 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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