A. Bousselham, O. Bouattane, M. Youssfi and A. Raihani, Towards reinforced brain tumor segmentation on MRI
images based on temperature changes on pathologic area, Int. J. Biomed. Imag. 2019 (2019), Article ID 1758948,
 BRATS database, (2015). http://braintumorsegmentation.org/
 H. Greenspan, A. Ruf and J. Goldberger, Constrained Gaussian mixture model framework for automatic segmentation of MR brain images, IEEE Trans. Med. Imag. 25 (2006), no. 9, 1233–1245.
 N. Gordillo, E. Montseny and P. Sobrevilla, State of the art survey on MRI brain tumor segmentation, Magnetic
Resonance Imag. 31 (2013), no. 8, 1426–1438.
 Z. Ji, Y. Xia, Q. Sun, Q. Chen and D. Feng, Adaptive scale fuzzy local Gaussian mixture model for brain mr image
segmentation, Neurocomput. 134 (2014), no. 12, 60—69.
 P. John, Brain tumor classification using wavelet and texture based neural network, Int. J. Sci. Engin. Res. 3
(2012), no. 10, 1–7.
 K. Kalti and M.A. Mahjoub, Image segmentation by Gaussian mixture models and modified FCM algorithm, Int.
Arab J. Inf. Technol. 11 (2014), no. 1, 11—18.
 P. Kumar and B. VijayKumar, Brain tumor MRI segmentation and classification using ensemble classifier, Int.
J. Recent Technol. Engin. 8 (2019), no. 1S4.
 G.C. Lin, W.J. Wang, C.C. Kang and C.M. Wang, Multispectral MR images segmentation based on fuzzy knowledge
and modified seeded region growing, Magnetic Resonance Imag. 30 (2012), no. 2, 230—246.
 I. Maiti and M. Chakraborty, A new method for brain tumor segmentation based on watershed and edge detection
algorithms in hsv colour model, IEEE Nat. Conf. Comput. Commun. Syst. (NCCCS), 2012, pp. 1—5.
 N. Mathur, S. Mathur and D. Mathur, A novel approach to improve Sobel edge detector, Procedia Comput. Sci.93 (2016), no. 16, 431—438.
 P.A. Mei, C. de Carvalho Carneiro, S.J. Fraser, L.L. Min and F. Reis, Analysis of neoplastic lesions in magnetic
resonance imaging using self-organizing maps, J. Neurol. Sci. 359 (2015), no. 1, 78-–83.
 K. Nimeesha and R.M. Gowda, Brain tumour segmentation using k-means and fuzzy c-means clustering algorithm,
Int. J. Comput. Sci. Inf. Technol. Res. Excell. 3 (2013), no. 2, 60—65.
 T.U. Paul and S.K. Bandhyopadhyay, Segmentation of brain tumor from brain mri images reintroducing k–means
with advanced dual localization method, Int. J. Engin. Res. Appl. 2 (2012), no. 3, 226-–231.
 K.A. Viji and J. JayaKumari, Modified texture based region growing segmentation of MR brain images, IEEE
Conf. Inf. Commun. Technol. (ICT), 2013, pp. 691—695.
 A. Vishnuvarthanan, M.P. Rajasekaran, V. Govindaraj, Y. Zhang and A. Thiyagarajan, Development of a combinational framework to concurrently perform tissue segmentation and tumor identification in T1-w, T2-w, Flair
and MPR type magnetic resonance brain images, Expert Syst. Appl. 95 (2018), no. 15, 280–311.
 A. Zotin, K. Simonov, M. Kurako, Y. Hamad and S. Kirillova, Edge detection in mri brain tumor images based
on fuzzy c-means clustering, Procedia Comput. Sci. 126 (2018), 1261—1270.