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A deep semantic segmentation correction network for multi-model tiny lesion areas detection
BACKGROUND: Semantic segmentation of white matter hyperintensities related to focal cerebral ischemia (FCI) and lacunar infarction (LACI) is of significant importance for the automatic screening of tiny cerebral lesions and early prevention of LACI. However, existing studies on brain magnetic resona...
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| Pubblicato in: | BMC Med Inform Decis Mak |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8323231/ https://ncbi.nlm.nih.gov/pubmed/34330249 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-021-01430-z |
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