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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Vydáno v:	Applied soft computing Ročník 57; s. 399 - 426
Hlavní autoři:	Vishnuvarthanan, Anitha, Rajasekaran, M. Pallikonda, Govindaraj, Vishnuvarthanan, Zhang, Yudong, Thiyagarajan, Arunprasath
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.08.2017
Témata:	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
On-line přístup:	Získat plný text
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