Journal of Engineering and Applied Sciences

Year: 2018
Volume: 13
Issue: 15
Page No. 6123 - 6129

Detection of Brain Tumors in Brain Images Based on Pseudo Coloring and Spatial Methods

Authors : Mina H. Madhi and Faisel G. Mohammed

References

Abdel-Maksoud, E., M. Elmogy and R. Al-Awadi, 2015. Brain tumor segmentation based on a hybrid clustering technique. Egypt. Inf. J., 16: 71-81.
Direct Link  |  

Aslam, H.A., T. Ramashri and M.I.A. Ahsan, 2013. A new approach to image segmentation for brain tumor detection using pillar K-means algorithm. Intl. J. Adv. Res. Comput. Commun. Eng., 2: 1429-1436.
Direct Link  |  

Chen, C.W., J. Luo and K.J. Parker, 1998. Image segmentation via adaptive K-mean clustering and knowledge-based morphological operations with biomedical applications. IEEE. Trans. Image Process., 7: 1673-1683.
CrossRef  |  PubMed  |  

Connolly, C. and T. Fleiss, 1997. A study of efficiency and accuracy in the transformation from RGB to CIELAB color space. IEEE. Trans. Image Process., 6: 1046-1048.
CrossRef  |  PubMed  |  Direct Link  |  

Dhawan, A.P., 1990. A review on biomedical image processing and future trends. Comput. Methods Programs Biomed., 31: 141-183.
CrossRef  |  PubMed  |  Direct Link  |  

Dong, B., A. Chien and Z. Shen, 2010. Frame based segmentation for medical images. Commun. Math. Sci., 32: 1724-1739.

Gonzalez, R.C. and R.E. Woods, 2002. Digital Image Processing. 2nd Edn., Prentice Hall, Upper Saddle River, New Jersey, USA., ISBN:9780130946508, Pages: 793.

Haj-Hosseini, N., P. Milos, C. Hildesjo, M. Hallbeck and J. Richter et al., 2016. Fluorescence spectroscopy and optical coherence tomography for brain tumor detection. Proceedings of the International Conference on SPIE Photonics Europe, Biophotonics: Photonic Solutions for Better Health Care, April 3-7, 2016, SPIE-International Society for Optical Engineering, Brussels, Belgium, pp: 9887-9896.

Janani, V. and P. Meena, 2013. Image segmentation for tumor detection using fuzzy inference system. Intl. J. Comput. Sci. Mobile Comput., 2: 244-248.
Direct Link  |  

Kabade, R.S. and M.S. Gaikwad, 2013. Segmentation of brain tumour and its area calculation in brain MR images using K-mean clustering and fuzzy C-mean algorithm. Int. J. Comput. Sci. Eng. Technol., 4: 524-531.
Direct Link  |  

Kowar, M.K. and S. Yadav, 2012. Brain tumor detection and segmentation using histogram thresholding. Int. J. Engin. Advan. Technol., 1: 2249-8958..

Liu, Y., A. Carpenter, H. Yuan, Z. Zhou and M. Zalutsky et al., 2016. Gold nanostar as theranostic probe for brain tumor sensitive PET-optical imaging and image-guided specific photothermal therapy. Cancer Res., 76: 4213-4213.
CrossRef  |  Direct Link  |  

Nabizadeh, N., N. John and C. Wright, 2014. Histogram-based gravitational optimization algorithm on single MR modality for automatic brain lesion detection and segmentation. Expert Syst. Appl., 41: 7820-7836.
CrossRef  |  Direct Link  |  

Ng, H.P., S.H. Ong, K.W.C. Foong, P.S. Goh and W.L. Nowinski, 2006. Medical image segmentation using K-means clustering and improved watershed algorithm. Proceedings of the 2006 IEEE Southwest Symposium on Image Analysis and Interpretation, March 26-28, 2006, IEEE, Washington, DC, USA., pp: 61-65.

Patel, J. and K. Doshi, 2014. A study of segmentation methods for detection of tumor in brain MRI. Adv. Electron. Electr. Eng., 4: 279-284.
Direct Link  |  

Powar, V., A. Jahagirdar and S. Sirsikar, 2011. Skin detection in YCbCr color space. Intl. J. Comput. Appl., 2011: 1-4.

Rajesh, C.P. and A.S. Bhalchandra, 2012. Brain tumour extraction from MRI images using MATLAB. Intl. J. Electron. Commun. Soft Comput. Sci. Eng., 2: 1-4.
Direct Link  |  

Sehgal, V., Z. Delproposto, D. Haddar, E.M. Haacke and A.E. Sloan et al., 2006. Susceptibility-weighted imaging to visualize blood products and improve tumor contrast in the study of brain masses. J. Magn. Reson. Imaging, 24: 41-51.
CrossRef  |  PubMed  |  Direct Link  |  

Sudharani, K., T.C. Sarma and K.S. Prasad, 2016. Advanced morphological technique for automatic brain tumor detection and evaluation of statistical parameters. Procedia Technol., 24: 1374-1387.
CrossRef  |  Direct Link  |  

Tsai, C.S. and C.C. Chang, 2003. An improvement to image segment based on human visual system for object-based coding. Fundam. Inf., 58: 167-178.
Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved