Automated identification of brain tumors from single MR images based on segmentation with refined patient-specific priors

Brain tumors can have different shapes or locations, making their identification very challenging. In functional MRI, it is not unusual that patients have only one anatomical image due to time and financial constraints. Here, we provide a modified automatic lesion identification (ALI) procedure whic...

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Detalles Bibliográficos
Autores principales: Sanjuán, Ana, Price, Cathy J., Mancini, Laura, Josse, Goulven, Grogan, Alice, Yamamoto, Adam K., Geva, Sharon, Leff, Alex P., Yousry, Tarek A., Seghier, Mohamed L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3865426/
https://www.ncbi.nlm.nih.gov/pubmed/24381535
http://dx.doi.org/10.3389/fnins.2013.00241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3865426/
https://www.ncbi.nlm.nih.gov/pubmed/24381535
http://dx.doi.org/10.3389/fnins.2013.00241

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