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Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks
OBJECTIVE: To develop an automated vessel wall segmentation method using convolutional neural networks (CNN) to facilitate the quantification on magnetic resonance (MR) vessel wall images of patients with intracranial atherosclerotic disease (ICAD). METHODS: Vessel wall images of 56 subjects were ac...
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| Pubblicato in: | IEEE Trans Biomed Eng |
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| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6788976/ https://ncbi.nlm.nih.gov/pubmed/30716027 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2019.2896972 |
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