Abstract: Image segmentation is challenging task in field of medical image processing. Magnetic resonance imaging is helpful to doctor for detection of human brain tumor within three sources of images (axil, corneal, sagittal). MR images are nosier and detection of brain tumor location as feature is more complicated. Level set methods have been applied but due to human interaction they are affected so appropriate contour has been generated in discontinuous regions and pathological human brain tumor portion highlighted after applying binarization, removing unessential objects; therefore contour has been generated. Then to classify tumor for segmentation hybrid Fuzzy K Mean-Self Organization Mapping (FKM-SOM) for variation of intensities is used. For improved segmented accuracy, classification has been performed, mainly features are extracted using Discrete Wavelet Transformation (DWT) then reduced using Principal Component Analysis (PCA). Thirteen features from every image of dataset have been classified for accuracy using Support Vector Machine (SVM) kernel classification (RBF, linear, polygon) so results have been achieved using evaluation parameters like Fscore, Precision, accuracy, specificity and recall.

Khurram Ejaz, Mohd Shafry Mohd Rahim, Amjad Rehman, Huma Chaudhry, Tanzila Saba, Anmol Ejaz and Chaudhry Farhan Ej, “Segmentation Method for Pathological Brain Tumor and Accurate Detection using MRI” International Journal of Advanced Computer Science and Applications(ijacsa), 9(8), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090851

@article{Ejaz2018,
title = {Segmentation Method for Pathological Brain Tumor and Accurate Detection using MRI},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090851},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090851},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {8},
author = {Khurram Ejaz and Mohd Shafry Mohd Rahim and Amjad Rehman and Huma Chaudhry and Tanzila Saba and Anmol Ejaz and Chaudhry Farhan Ej}
}