International Journal of Applied Mathematics and Machine Learning[1] S. M. Ali, L. K. Abood and R. S. Abdoon, Brain tumor extraction in
MRI images using clustering and morphological operations techniques,
Int. J. Geographical Info. System Appl. Remote Sensing 4(1) (2013).
[2] R. Rana, H. S. Bhadauria and A. Singh, Study of various methods
for brain tumor segmentation from MRI images, International Journal of
Emerging Technology and Advanced Engineering 3(6) (2013), 338-342.
[3] R. G. Selkar and M. N. Thakare, Brain tumor detection and
segmentation by using thresholding and watershed algorithm,
International Journal of Advanced Information and Communication
Technology 1(3) (2014), 321-324.
[4] M. de Carvalho Alegro, E. A. Junior and R. de Deus Lopes,
Computerized brain tumor segmentation in magnetic resonance imaging,
Scientific Electronic Library Online.
[5] A. Gade, R. Vig and V. Kulkarni, Segmentation of tumor region in
MRI images of brain using mathematical morphology, International
Journal of Image Processing (IJIP) 8(3) (2014), 95.
[6] Available: http:
http://homepages.inf.ed.ac.uk/rbf/CVonline/
[7] X. Cheng and X. Gong, An image segmentation of fuzzy c-means
clustering based on the combination of improved ant colony algorithm
and genetic algorithm, Education Technology and Training, 2008 and
2008 International Workshop on Geoscience and Remote Sensing, ETT and
GRS 2008, International Workshop on. IEEE 2 (2008), 804-808.
[8] W. Deng, W. Xiao, H. Deng et al., MRI brain tumor segmentation
with region growing method based on the gradients and variances along
and inside of the boundary curve, 3rd International Conference on
Biomedical Engineering and Informatics. IEEE 1 (2010), 393-396.
