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Automated lesion detection on MRI scans using combined unsupervised and supervised methods
BACKGROUND: Accurate and precise detection of brain lesions on MR images (MRI) is paramount for accurately relating lesion location to impaired behavior. In this paper, we present a novel method to automatically detect brain lesions from a T1-weighted 3D MRI. The proposed method combines the advanta...
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| Опубликовано в: : | BMC Med Imaging |
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| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2015
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4628334/ https://ncbi.nlm.nih.gov/pubmed/26518734 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12880-015-0092-x |
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