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Segmentation of carotid arterial walls using neural networks
BACKGROUND: Automated, accurate, objective, and quantitative medical image segmentation has remained a challenging goal in computer science since its inception. This study applies the technique of convolutional neural networks (CNNs) to the task of segmenting carotid arteries to aid in the assessmen...
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| Publicado no: | World J Radiol |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Baishideng Publishing Group Inc
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6928332/ https://ncbi.nlm.nih.gov/pubmed/31988700 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4329/wjr.v12.i1.1 |
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