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Investigating efficient CNN architecture for multiple sclerosis lesion segmentation
Purpose: The automatic segmentation of multiple sclerosis lesions in magnetic resonance imaging has the potential to reduce radiologists’ efforts on a daily time-consuming task and to bring more reproducibility. Almost all new segmentation techniques make use of convolutional neural networks with th...
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| Publicado no: | J Med Imaging (Bellingham) |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7867032/ https://ncbi.nlm.nih.gov/pubmed/33569506 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.8.1.014504 |
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