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Title: :  A Review for Segmentation for Brain MRI Images using Fuzzy Logic
PaperId: :  2407
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 3 2016
DUI:    16.0415/IJARIIE-2407
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Maulik MangukiyaSilver Oak College of Engineering and Technology, Ahmadabad, Gujarat, India
Ritika LohiyaSilver Oak College of Engineering and Technology, Ahmadabad, Gujarat, India

Abstract

I.T.
White Matter , White Matter Lesion (WML), Fuzzy C means clustering (FCM), Geostatistical Possibilistic Clustering (GPC), Geostatistical Fuzzy c-means Clustering (GFCM).
Image processing techniques are widely used in different medical field for improving early detection of disease. Early detection is necessary for discover the disease at initial stage and giving a proper treatment for that. White Matter Lesions (WMLs) are small areas of dead cells found in parts of the brain. In general, it is difficult for medical experts to accurately quantify the WMLs due to decreased contrast between White Matter (WM) and Grey Matter (GM). The aim of this paper is to automatically detect the White Matter Lesions which is present in the brains of elderly people. WML detection process includes the following stages: 1. Image pre-processing, 2. Clustering (Fuzzy c-means clustering (FCM), Geostatistical Possibilisticclustering (GPC) and Geostatistical Fuzzy clustering (GFCM)). 1 st method of white matter segmentation is FCM (Fuzzy c-means clustering) and it is based on fuzzy logic. 2 nd method is GPC (Geostatistical Possibilistic Clustering) and it is based on possibilistic approach. 3 rd method is GFCM (Geostatistical Fuzzy c-means Clustering)and it is based on fuzzy logic and possibilistic approach.The detection results reveal that GFCM better localizes the largeregions of lesions and gives less false positive rate when compared to FCM and GPC which captures thelargest loads of WMLs only in the upper ventral horns of the brain.

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IJARIIE Maulik Mangukiya, and Ritika Lohiya. "A Review for Segmentation for Brain MRI Images using Fuzzy Logic" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 1245-1251
MLA Maulik Mangukiya, and Ritika Lohiya. "A Review for Segmentation for Brain MRI Images using Fuzzy Logic." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 1245-1251.
APA Maulik Mangukiya, & Ritika Lohiya. (2016). A Review for Segmentation for Brain MRI Images using Fuzzy Logic. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 1245-1251.
Chicago Maulik Mangukiya, and Ritika Lohiya. "A Review for Segmentation for Brain MRI Images using Fuzzy Logic." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 1245-1251.
Oxford Maulik Mangukiya, and Ritika Lohiya. 'A Review for Segmentation for Brain MRI Images using Fuzzy Logic', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, 2016, p. 1245-1251. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_Review_for_Segmentation_for_Brain_MRI__Images_using_Fuzzy_Logic_ijariie2407.pdf (Accessed : 14 February 2020).
Harvard Maulik Mangukiya, and Ritika Lohiya. (2016) 'A Review for Segmentation for Brain MRI Images using Fuzzy Logic', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 1245-1251IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_Review_for_Segmentation_for_Brain_MRI__Images_using_Fuzzy_Logic_ijariie2407.pdf (Accessed : 14 February 2020)
IEEE Maulik Mangukiya, and Ritika Lohiya, "A Review for Segmentation for Brain MRI Images using Fuzzy Logic," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, pp. 1245-1251, May-Jun 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_Review_for_Segmentation_for_Brain_MRI__Images_using_Fuzzy_Logic_ijariie2407.pdf [Accessed : 14 February 2020].
Turabian Maulik Mangukiya, and Ritika Lohiya. "A Review for Segmentation for Brain MRI Images using Fuzzy Logic." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 (14 February 2020).
Vancouver Maulik Mangukiya, and Ritika Lohiya. A Review for Segmentation for Brain MRI Images using Fuzzy Logic. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : 14 February 2020]; 2(3) : 1245-1251. Available from: https://ijariie.com/AdminUploadPdf/A_Review_for_Segmentation_for_Brain_MRI__Images_using_Fuzzy_Logic_ijariie2407.pdf
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