The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of COMPUTERS
Transactions ID Number: 17-269
Full Name: Shafaf Ibrahim
Position: Student
Age: ON
Sex: Female
Address: University Technoogy MARA
Country: MALAYSIA
Tel: 019-2692717
Tel prefix: +6
Fax: +604-5941023
E-mail address: shafaf_ibrahim@yahoo.com
Other E-mails: elaiza@tmsk.uitm.edu.my, mazani@tmsk.uitm.edu.my
Title of the Paper: Comparative Study of Adaptive Network-Based Fuzzy Inference System (ANFIS), k-Nearest Neighbors (k-NN) and Fuzzy c-Means (FCM) for Brain Abnormalities Segmentation
Authors as they appear in the Paper: Noor Elaiza Abdul Khalid, Shafaf Ibrahim, Mazani Manaf
Email addresses of all the authors: shafaf_ibrahim@yahoo.com, elaiza@tmsk.uitm.edu.my, mazani@tmsk.uitm.edu.my
Number of paper pages: 12
Abstract: Complexity of medical imagery is found as challenging problem in segmentation. This paper conducts a comparative study of Adaptive Network-Based Fuzzy Inference System (ANFIS), k-Nearest Neighbors (k-NN) and Fuzzy c-Means (FCM) for brain abnormalities segmentation. The characteristics for each brain component of "membrane", "ventricles", "light abnormality" and "dark abnormality" is analyzed by extracting the minimum, maximum and mean grey level pixel values. The segmentation performances of each technique is tested to hundred and fifty controlled testing data which designed by cutting various shapes and size of various abnormalities and pasting it onto normal brain tissues. The tissues are divided into three categories of "low", "medium" and "high" based on the grey level pixel value intensities. The segmentation of light abnormalities outperformed the dark abnormalities. It was proven that the ANFIS returns the best segmentation performances in light abnormalitie!
s, whereas the k-NN conversely presented well in dark abnormalities segmentation.
Keywords: Adaptive Network-Based Fuzzy Inference System (ANFIS), k-Nearest Neighbors (k-NN), Fuzzy c-Means (FCM), Brain segmentation
EXTENSION of the file: .doc
Special (Invited) Session: Brain Abnormalities Segmentation Performances Contrasting: Adaptive Network-Based Fuzzy Inference System (ANFIS) vs K-Nearest Neighbors (k-NN) vs Fuzzy c-Means (FCM)
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