Brain tumor segmentation using holistically nested neural networks in MRI images

Purpose Gliomas are rapidly progressive, neurologically devastating, largely fatal brain tumors. Magnetic resonance imaging (MRI) is a widely used technique employed in the diagnosis and management of gliomas in clinical practice. MRI is also the standard imaging modality used to delineate the brain...

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Veröffentlicht in:	Medical physics (Lancaster) 2017-10, Vol.44 (10), p.5234-5243
Hauptverfasser:	Zhuge, Ying, Krauze, Andra V., Ning, Holly, Cheng, Jason Y., Arora, Barbara C., Camphausen, Kevin, Miller, Robert W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Brain Neoplasms - diagnostic imaging brain tumor convolutional neural networks Glioma - diagnostic imaging holistically nested neural networks Humans Image Processing, Computer-Assisted - methods image segmentation Magnetic Resonance Imaging MRI image Neural Networks, Computer
Online-Zugang:	Volltext
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