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Automated segmentation of chronic stroke lesions using LINDA: Lesion identification with neighborhood data analysis
The gold standard for identifying stroke lesions is manual tracing, a method that is known to be observer dependent and time consuming, thus impractical for big data studies. We propose LINDA (Lesion Identification with Neighborhood Data Analysis), an automated segmentation algorithm capable of lear...
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| Опубликовано в: : | Hum Brain Mapp |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
John Wiley and Sons Inc.
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4783237/ https://ncbi.nlm.nih.gov/pubmed/26756101 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.23110 |
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