Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural Network

Brain tumors can appear anywhere in the brain and have vastly different sizes and morphology. Additionally, these tumors are often diffused and poorly contrasted. Consequently, the segmentation of brain tumor and intratumor subregions using magnetic resonance imaging (MRI) data with minimal human in...

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Veröffentlicht in:	Journal of healthcare engineering 2018-01, Vol.2018 (2018), p.1-14
Hauptverfasser:	Liu, Chang, Jiang, Jingfeng, Mao, Lei, Cui, Shaoguo, Xiong, Shuyu
Format:	Artikel
Sprache:	eng
Schlagworte:	Brain tumors Gliomas Magnetic resonance imaging Medical imaging equipment Neural networks
Online-Zugang:	Volltext
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