Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI

PURPOSE: We propose a fully automated method for detection and segmentation of the abnormal tissue associated with brain tumour (tumour core and oedema) from Fluid- Attenuated Inversion Recovery (FLAIR) Magnetic Resonance Imaging (MRI). METHODS: The method is based on superpixel technique and classi...

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Detalhes bibliográficos
Publicado no:Int J Comput Assist Radiol Surg
Main Authors: Soltaninejad, Mohammadreza, Yang, Guang, Lambrou, Tryphon, Allinson, Nigel, Jones, Timothy L., Barrick, Thomas R., Howe, Franklyn A., Ye, Xujiong
Formato: Artigo
Idioma:Inglês
Publicado em: Springer International Publishing 2016
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Original Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5263212/
https://ncbi.nlm.nih.gov/pubmed/27651330
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11548-016-1483-3
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