Analysis of neoplastic lesions in magnetic resonance imaging using self-organizing maps

Abstract Objective To provide an improved method for the identification and analysis of brain tumors in MRI scans using a semi-automated computational approach, that has the potential to provide a more objective, precise and quantitatively rigorous analysis, compared to human visual analysis. Backgr...

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Veröffentlicht in:	Journal of the neurological sciences 2015-12, Vol.359 (1), p.78-83
Hauptverfasser:	Mei, Paulo Afonso, de Carvalho Carneiro, Cleyton, Fraser, Stephen J, Min, Li Li, Reis, Fabiano
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Aged, 80 and over Brain Brain Neoplasms - classification Brain Neoplasms - pathology Female Glioblastoma - pathology Glioma - pathology Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Meningeal Neoplasms - pathology Meningioma - pathology Middle Aged MRI Neoplastic Neurology ROC Curve Self-organizing maps SOM Tumors
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