Adaptive Neuro-Fuzzy Inference System for brain abnormality segmentation

Proceedings - ICSGRC 2010: 2010 IEEE Control and System Graduate Research Colloquium

Volumn , Issue , 2010, Pages 68-70

  Noor, Noorhayati Mohamed ^a   Khalid, Noor Elaiza Abdul ^a   Hassan, Rohaida ^a   Ibrahim, Shafaf ^a   Yassin, Ihsan Mohd ^a  

^a UNIVERSITI TEKNOLOGI MARA   (Malaysia)

Author keywords

Adaptive Neuro Fuzzy Inference System (ANFIS); Brain abnormality segmentation; Magnetic resonance imaging (MRI)

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; BRAIN ABNORMALITIES; BRAIN ABNORMALITY SEGMENTATION; BRAIN IMAGES; BRAIN IMAGING; GREY LEVELS; LOW BACKGROUND; MRI IMAGE; TESTING DATA;

FUZZY INFERENCE; FUZZY SYSTEMS; IMAGE SEGMENTATION; RESEARCH; RESONANCE;

MAGNETIC RESONANCE IMAGING;

EID: 77958017248     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSGRC.2010.5562519     Document Type: Conference Paper

References (7)

1. M. D. Fox, A. Z. Snyde, J. L. Vincent, M. Corbetta, D. C. V. Essen, and M. E. Raichle, "The human brain is intrinsically organized into dynamic, anticorrelated functional networks," in Proc. Natl. Acad. Sci. USA, 2005, pp. 9673-9678.
2. R. Ganesan and S. Radhakrisham, "Segmentation of Computed Tomography Brain Images Using Genetic Algorithm," Int. J. Soft Computing, vol. 4(4), pp. 157-161, 2009.
3. M. Mancas, B. Gosselin, and B. Macq, "Segmentation Using a Region Growing Thresholding," Proc. of the Society of Photographic Instrumentation Engineers (SPIE), vol. 5672, pp. 388-398, 2005.
4. J. Fan, D. K. Y. Yau, A. K. Elmagarmid, and W. G. Aref, "Automatic Image Segmentation by Intergrating Color-Edge Extraction and Seeded Region Growing," IEEE Trans. On Image Processing, vol. 10, pp. 1454-1466, 2001.
5. C. P. Kurian, V. I. George, J. Bhat, and R. S. Aithal, "ANFIS Model for the Time Series Prediction of Interior Daylight Illuminance," Int. J. on Artificial Intelligence and Machine Learning, vol. 6(3), pp. 35-40, 2006.
6. J. Shing and R. Jang, "ANFIS: Adaptive Network Based Fuzzy nference System," IEEE Trans. Systems, Man & Cybernetics, vol. 23(3), pp. 665-685, 1993.
7. M. Gribskov and N. L. Robinson, "Use of receiver operating characteristic (ROC) analysis to evaluate sequence matching," Comput. Chem., vol. 20(1), pp. 25-33, 1996.