Brain Tumor Detection and Segmentation in MR Images Using Deep Learning

Gliomas are the most infiltrative and life-threatening brain tumors with exceptionally quick development. Gliomas segmentation using computer-aided diagnosis is a challenging task, due to irregular shape and diffused boundaries of tumor with the surrounding area. Magnetic resonance imaging (MRI) is...

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Veröffentlicht in:	Arabian journal for science and engineering (2011) Jg. 44; H. 11; S. 9249 - 9261
Hauptverfasser:	Sajid, Sidra, Hussain, Saddam, Sarwar, Amna
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2019 Springer Nature B.V
Schlagworte:	Artificial neural networks Brain Brain cancer Deep learning Engineering Humanities and Social Sciences Image detection Image segmentation Machine learning Magnetic resonance imaging Medical imaging multidisciplinary NMR Nuclear magnetic resonance Post-production processing Research Article - Computer Engineering and Computer Science Science Tumors Deep learning Gliomas segmentation CNN Brain tumor segmentation MRI
ISSN:	2193-567X, 1319-8025, 2191-4281
Online-Zugang:	Volltext
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