Accepted Manuscript
Development of a Combinational Framework to Concurrently PerformTissue Segmentation and Tumor Identification in T1 - W, T2 - W,FLAIR and MPR type Magnetic Resonance Brain Images
Anitha Vishnuvarthanan , M. Pallikonda Rajasekaran ,Vishnuvarthanan Govindaraj , Yudong Zhang ,Arunprasath Thiyagarajan
PII: S0957-4174(17)30796-0DOI: 10.1016/j.eswa.2017.11.040Reference: ESWA 11683
To appear in: Expert Systems With Applications
Received date: 9 August 2017Revised date: 15 October 2017Accepted date: 16 November 2017
Please cite this article as: Anitha Vishnuvarthanan , M. Pallikonda Rajasekaran ,Vishnuvarthanan Govindaraj , Yudong Zhang , Arunprasath Thiyagarajan , Development of aCombinational Framework to Concurrently Perform Tissue Segmentation and Tumor Identificationin T1 - W, T2 - W, FLAIR and MPR type Magnetic Resonance Brain Images, Expert Systems WithApplications (2017), doi: 10.1016/j.eswa.2017.11.040
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https://doi.org/10.1016/j.eswa.2017.11.040https://doi.org/10.1016/j.eswa.2017.11.040
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Highlights
Development of a novel combinatorial technique for MR brain image analysis.
Achieving simultaneous tumor detection and tissue segmentation using an automated algorithm.
Minimal time duration and lesser manual intervention for segmenting the input MR brain images.
A dynamic algorithm for identifying the heterogeneous tumor regions.
A vivid comparison made for proving the efficacy of the proposed BFOA based MFCM methodology.