Brain tumor detection and segmentation using hybrid intelligent algorithms

IEEE AFRICON Conference

Volumn 2015-November, Issue , 2015, Pages

  Megersa, Yehualashet ^a   Alemu, Getachew ^b  

^a UNIVERSITY OF GONDAR   (Ethiopia)

^b ADDIS ABABA UNIVERSITY   (Ethiopia)

Author keywords

Brain tumor; Detection; Fuzzy Hopfield Neural Network; Magnetic Resonance Imaging; Segmentation

Indexed keywords

ALGORITHMS; BRAIN; ERROR DETECTION; FUZZY INFERENCE; FUZZY LOGIC; HOPFIELD NEURAL NETWORKS; IMAGE FUSION; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; TUMORS;

AUTOMATED TECHNIQUES; BRAIN TUMORS; FUZZY HOPFIELD NEURAL NETWORK; HYBRID INTELLIGENT ALGORITHMS; MEAN AND STANDARD DEVIATIONS; SEGMENTATION RESULTS; SENSITIVITY AND SPECIFICITY; SIMILARITY INDICES;

DIAGNOSIS;

EID: 84962500276     PISSN: 21530025     EISSN: 21530033     Source Type: Conference Proceeding    
DOI: 10.1109/AFRCON.2015.7331938     Document Type: Conference Paper

References (26)

1. http://www.radiologyassistant.nl/, Accessed on: January 12, 2012
2. S.Xavierarockiaraj, K.Nithya, and R.Maruni Devi, "Brain Tumor Detection Using Modified Histogram Thresholding-Quadrant Approach", Journal of Computer Applications (JCA), Vol. 5, No.1, 2012, pp. 21-25.
3. Pohle R, Toennies KD; "Segmentation of medical images using adaptive region growing", Proceedings of SPIE-Medical Imaging, Vol. 4322, 2001, pp. 1337-1346.
4. Mehmed Ozkan, Benoit M. Dawant and Robert J. Maciunas, "Neural Network Based Segmentation of Multi-Modal Medical Images: A comparative and Prospective Study", IEEE Transaction on Medical Imaging, Vol. 12, No. 13, Sept. 1993, pp. 534-544.
5. Kuo-Sheng Cheng, Jzau-Sheng Lin and Chi-Wu Mao, "The Application of Competitive Hopfield Neural Network to Medical Image Segmentation", IEEE Transactions on Medical Imaging, Vol.15, No. 4, August 1996, pp. 560-567.
6. Hassan Khotanlou, Olivier Colliot, Jamal Atif and Isabelle Bloch, "3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models", Fuzzy Sets and Systems, Vol. 160, Issue 10, 2009, pp.1457-1473.
7. A. Rajendran and R.Dhanasekaran, " A hybrid Method Based on Fuzzy Clustering and Active Contour Using GGVF for Brain Tumor Segmentation on MRI Images", European Journal of Scientific Research, Vol. 61, No. 2, 2011, pp. 305-313.
8. James C. Bezdek, Robert Ehrlich and William Full, "FCM: The Fuzzy C-Means Clustering Algorithm", Computer and Geosciences, Vol. 10, No. 2-3, 1984, pp. 193-203.
9. Phillips, W.E. et al., " Application of fuzzy c-means segmentation techniques for tissue differentiation in MR images of hemorrhagic glioblastoma multiform", Magnetic Resonance Imaging, Vol. 13, Issue 2, 1995, pp. 277-290.
10. Jzau-Sheng Lin, Kuo-Sheng Cheng and Chi-Wu Mao, "A Fuzzy Hopfield Neural Network for Medical Image Segmentation", IEEE Transactions on Nuclear Science, Vol. 43, No. 4, August 1996, pp. 2389-2398
11. Olivier Salvado, Claudia Hillenbrand, Shaoxiang Zhang and David L. Wilson, "Method to Correct Intensity Inhomogeneity in MR Images for Atherosclerosis Characterization", IEEE Transactions on Medical Imaging, Vol. 25, No.5, May 2006, pp. 539-552.
12. Nobuyuki Otsu, " A threshold Selection Method from Gray-Level Histograms", IEEE Transactions on Systems, Man, and Cybernetics, Vol. 9, No.1, January 1979, pp. 62-66.
13. Xuesong Lu, Su Zhang, He Su and Yazhu Chen, "Mutual informationbased multimodal image registration using a novel joint histogram estimation", Computerized Medical Imaging and Graphics, Vol. 32, Issue 3, April 2008, pp. 202-209.
14. Hua-mei Chen and Pramod K. Varshney, "Mutual Information-Based CT-MR Brain Image Registration Using Generalized Partial Volume Joint Histogram Estimation", IEEE Transactions on Medical Imaging, Vol. 22, No.9, Sep. 2003, pp. 1111-1119.
15. Youcef Chibani and Amrane Houacine, "Redundant Versus orthogonal wavelet Decomposition for multisensory image fusion", Pattern Recognition (Elsevier), Vol. 36, Issue 4, April 2003, pp. 879-887.
16. Yanxi Liu, Robert T. Collins and William E. Rothfus, "Automatic Extraction of the Central Symmetry (Mid-Sagittal) Plane from Neuroradiology Images", Carnegie Mellon University, The Robotics Institute Technical Report, CMU-RI-TR-96-40, December, 1996
17. Alexander V. Tuzikov, Olivier Colliot and Isabelle Bloch, "Evaluation of the symmetry plane in 3D MR brain Images", Pattern Recognition Letters, Vol. 24, Issue 14, October 2003, pp. 2219-2233.
18. J.-P. Thirion, S. Prima, G. Subsol and N.Roberts, "Statistical analysis of normal and abnormal dissymmetry in volumetric medical images", Medical Image Analysis, Vol. 4, Issue 2, June 2000, pp. 111-121.
19. Nilanjan Ray, Russell Greiner and Albert Mertha, "Using Symmetry to Detect Abnormalities in Brain MRI", Computer Society of India Communication, Vol. 31, No. 19, January 2008, pp. 7-10
20. Gordillo, N., Montseny, E., Sobrevilla, P.,"A New Fuzzy Approach to Brain Tumor Segmentation", Fuzzy Systems (FUZZ), 2010 IEEE International Conference on, 18-23 July 2010, pp.1-8, doi: 10.1109/FUZZY.2010.5584178
21. Farhad Mohamad, et al, "Fast Image Segmentation Using C-Means Based Fuzzy Hopfield Neural Network", IEEE, Canadian Conference on Electrical and Computer Engineering, May 2008, pp. 1855-1860.
22. Center for Morphometric Analysis, Massachusetts General Hospital, the Internet Brain Segmentation Repository (IBSR), http://www.cma.mgh.harvard.edu/ibsr/, accessed on: November 10, 2011.
23. Midas at Kitware, Open Source Server, Longitude with Pathology Challenge, Simulated Magnetic Resonance Imaging Brain Tumors, http://midas3.kitware.com/midas/, accessed on: February 5, 2012
24. Paul Jaccard, "The Distribution of the Flora in the Alpine Zone", The New Phytologist, Vol. 11, No. 2, February 1912, pp. 37-50.
25. L. R. Dice, "Measures of the Amount of Ecological Association between Species", Ecology, Vol. 26, No. 3, July 1945, pp. 297-302.
26. Steven S. Coughlin and Linda W. Pickle, "Sensitivity and Specificity-Like Measures of the Validity of a Diagnostic Test That are Corrected for Chance Agreement", Epidemiology, Vol. 3, No. 2, March 1992, pp. 178-181.