An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images

[Display omitted] •A new approach in Computer Aided Diagnosis.•Concurrent tumor detection and tissue segmentation using an automated hybrid algorithm.•The algorithm requires lesser time duration for processing the input images.•Robust algorithm for heterogeneous tumor detection.•A valid comparison h...

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Veröffentlicht in:	Applied soft computing Jg. 57; S. 399 - 426
Hauptverfasser:	Vishnuvarthanan, Anitha, Rajasekaran, M. Pallikonda, Govindaraj, Vishnuvarthanan, Zhang, Yudong, Thiyagarajan, Arunprasath
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2017
Schlagworte:	Bacteria foraging optimization Modified fuzzy K means algorithm MR brain image segmentation Tissue segmentation Tumor detection Bacteria foraging optimization Tissue segmentation MR brain image segmentation Modified fuzzy K means algorithm Tumor detection
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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