Journal of Engineering and Applied Sciences
Year:
2020
Volume:
15
Issue:
4
Page No.
898 - 907
Employing Symmetry Concept and Unsupervised Neural Network to
Detect Abnormal Regions in IR Breast Thermograms
Authors :
Rabab SaadoonAbdoon
References
Abdoon, R.S., 2018. Utilizing image processing techniques for detecting breast abnormalities in thermography images. Int. J. Eng. Technol., 7: 2810-2817.
CrossRef | Direct Link | Abdoon, R.S., L. Abood and S. Ali, 2015. Adaptive Techniques for Brain Tumor Detection in MRI. LAP LAMBERT Academic Publishing, Saarbrücken, Germany, ISBN-13:978-3659798634, Pages: 420.
Al-Dergazly, A.A., 2017. Thermal images segmentation for evaluation of breast cancer. Int. J. Sci. Res., 6: 230-242.
Direct Link | Kohonen, T., 1989. Self-Organization and Associative Memory. 3rd Edn., Springer, New York, USA., ISBN: 9783540513872, Pages: 312.
Kohonen, T., 1995. Self-Organizing Maps. 1st Edn., Springer, New York, USA.
Logeswari, T. and M. Karnan, 2010. An improved implementation of brain tumor detection using segmentation based on soft computing. J. Cancer Res. Exp. Oncol., 2: 006-014.
Direct Link | Mohamed, N.A., 2015. Breast cancer risk deteotion using digital infrared thermal images. Int. J. Bioinf. Biomed. Eng., 1: 185-194.
Mostafa J.M. and H. Soltanian-Zadeh, 2011. Medical Image Segmentation using Artificial Neural Networks. In: Artificial Neural Networks-Methodological Advances and Biomedical Applications, Suzuki, K. (Ed.). In-Tech Electronics Ltd., Hong Kong, ISBN: 978-953-307-243-2, pp: 121-138.
Tang, X., H. Ding, Y.E. Yuan and Q. Wang, 2008. Morphological measurement of localized temperature increase amplitudes in breast infrared thermograms and its clinical application. Biomed. Signal Process. Control, 3: 312-318.
CrossRef | Direct Link | Umadevi, V., S.V. Raghavan and S. Jaipurkar, 2011. Framework for estimating tumour parameters using thermal imaging. Indian J. Med. Res., 134: 725-731.
CrossRef | Direct Link | Yang, H.Q., S.S. Xie, Q.Y. Lin, Z. Ye, S.Q. Chen and H. Li, 2007. A new infrared thermal imaging and its preliminary investigation of Breast Disease Assessment. Proceedings of the 2007 IEEE/ICME International Conference on Complex Medical Engineering, May 23-27, 2007, IEEE, Beijing, China, pp: 1071-1074.
Zadeh, H.G., I.A. Kazerouni, J. Haddadnia, M. Rahmanian, R. Javidan and M.A. Dezfuli, 2011. Distinguish breast cancer based on thermal features in infrared images. Can. J. Image Process. Comput. Vision, 2: 54-58.
Direct Link |