Enhanced Image Fusion Technique for Segmentation of Tumor using Fuzzy

Enhanced Image Fusion Technique for Segmentation of Tumor using Fuzzy

Mohammed Rifaie Mohammed

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Prof. E. Sreenivasa Reddy

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Acharya Nagarjuna University

Enhanced Image Fusion Technique for Segmentation of Tumor using Fuzzy

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CSTGV2T083

Enhanced Image Fusion Technique for Segmentation of Tumor using Fuzzy Banner

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Abstract

This paper presents the MRI brain diagnosis support system for structure segmentation and its analysis using spatial fuzzy clustering algorithm. The method is proposed to segment normal tissues such as white Matter, Gray Matter, Cerebrospinal Fluid and abnormal tissue like tumor part from MR images automatically. These MR brain images are often corrupted with Intensity Inhomogeneity artifacts cause unwanted intensity variation due to non-uniformity in RF coils and noise due to thermal vibrations of electrons and ions and movement of objects during acquisition which may affect the performance of image processing techniques used for brain image analysis.

References

15 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mohammed Rifaie Mohammed. 2015. \u201cEnhanced Image Fusion Technique for Segmentation of Tumor using Fuzzy\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 15 (GJCST Volume 15 Issue F1): .

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GJCST Volume 15 Issue F1
Pg. 31- 34

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

I.2.3 I.5.1

Submission ReceivedDecember 8, 2014
Peer Review Double Blind
Handling Editor
Accepted January 1, 2015
Published January 15, 2015

Version of record

v1.2

Issue date

June 4, 2015

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Mohammed Rifaie Mohammed, Prof. E. Sreenivasa Reddy (PhD/Dr. count: 0)

View Count (all-time): 248

Total Views (Real + Logic): 8254

Total Downloads (simulated): 2178

Publish Date: 2015 06, Thu

Monthly Totals (Real + Logic):

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Total Views: 8254

Total Downloads: 2178

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