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Automated Detection of Focal Cortical Dysplasia Type II with Surface-based MRI Post-processing and Machine Learning
OBJECTIVE: Focal cortical dysplasia (FCD) is a major pathology in patients undergoing surgical resection to treat pharmacoresistant epilepsy. MRI post-processing methods may provide essential help for detection of FCD. In this study, we utilized surface-based MRI morphometry and machine learning for...
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| Pubblicato in: | Epilepsia |
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| Autori principali: | , , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5934310/ https://ncbi.nlm.nih.gov/pubmed/29637549 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/epi.14064 |
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