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| dc.contributor.author | Mostaque, Md. Tasin | |
| dc.contributor.author | Meraz, Md.Hamidul Islam | |
| dc.contributor.author | Piash, Md.Naimur Rahman | |
| dc.contributor.author | Ahmed, Sheikh Saleh | |
| dc.date.accessioned | 2020-12-18T08:19:31Z | |
| dc.date.available | 2020-12-18T08:19:31Z | |
| dc.date.issued | 2019-11-15 | |
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Fourth International Symposium on Computational Intelligence and Design (ISCID), pp. 238-240, 2011. [32] W. Zhao, J. Zhang, P. Li, and Y. Li, "Study of image segmentation algorithm based on textural features and neural network," in International Conference on Intelligent Computing and Cognitive Informatics (ICICCI), pp. 300-303,2010. [33]M. Sharif, M. Y. Javed, and S. Mohsin, "Face recognition based On facial features, "Research Journal of Applied Sciences ,Engineering and Technology, vol. 4, pp. 2879-2886, 2012. [34]M. Yasmin, M. Sharif, and S. Mohsin, "Neural net-works in medical imaging applications: A survey," World Applied Sciences Journal, vol. 22, pp. 85-96, 2013. [35]L. Zhang and X. Deng, "The research of image segmentation based on improved neural network algorithm," in Proc. Sixth International Conference on Semantics Knowledge and Grid (SKG), pp. 395-397, 2010. [36] S. A. Ahmed, S. Dey, and K. K. Sarma, "Image texture classification using Artificial Neural Network (ANN)," in Proc. 2nd National Conference on Emerging Trends and Applications in Computer Science (NCETACS), pp. 1-4, 2011. [37]M. Sharif, M. Raza, S. Mohsin, and J. H. Shah,"Microscopic feature extraction method," Int. J. Advanced Networking and Applications,vol. 4, pp. 1700-1703, 2013. [38]I. Irum, M. Raza, and M. Sharif, "Morphological procedures for medical images: A review," Research Journal of Applied Sciences,vol. 4, 2012. [39] M. J. Islam, S. Basalamah, M. Ahmadi, and M. Ahmed,"Capsul image segmentation in pharmaceutical applications using edge-based procedures," IEEE International Conference on Electro/Information Technology (EIT), pp. 1-5, 2011. [40] L. Zhang and X. Deng, "The research of image segmentation based on improved neural network algorithm," in Proc. Sixth International Conference on Semantics Knowledge and Grid (SKG), pp. 395-397, 2010 [41] ] C. Yuan and S. Liang, "Segmentation of color image based on partial differential equations," in Proc. Fourth International Symposium on Computational Intelligence and Design (ISCID), pp. 238-240, 2011 [42] ] S. A. Ahmed, S. Dey, and K. K. Sarma, "Image texture classification using Artificial Neural Network (ANN)," in Proc. 2nd National Conference on Emerging Trends and Applications in Computer Science (NCETACS), pp. 1-4, 2011. [43] ] M. S. A. Shahzad, M. Raza, and K. Hussain, "En-hanced watershed image processing segmentation," Journal of Information & Communication Technology, vol. 2, pp. 1-9, 2008. [44] R. Samet, S. E. Amrahov, and A. H. Ziroglu, "Fuzzy rulebased image segmentation procedure for rock thin section images," in Proc. 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA), pp. 402¬406, 2012. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/723 | |
| dc.description | Supervised by Dr. Md. Taslim Reza Assistant Professor Department of Electrical and Electronic Engineering Islamic University of Technology (IUT) Gazipur-1704, Bangladesh | en_US |
| dc.description.abstract | One of the most pestilent disease of the age is breast cancer which have taken beaucoup lives, not only is it endangering the lives of the women of the developing world but the women of the developed world as well. In fact, the women of the civilized world are more prone to breast cancer. There are numerous reasons that can lead to breast cancer. It is mostly detrimental to the senescent, as their immune system are weakening, also women who have family history, exposed to radiation, overweight are susceptive to breast cancer. All these arise from tumors which lead to cancer. There are two forms of tumors- malignant and benign. Malignant are those which cause harm to the neighboring tissues whereas benign does not. However, the problem arises in finding its exact position. The goal of this paper is to locate the boundary of the tumors from elastography images which was a very tedious task hitherto, using segmentation by the active contour method and the watershed method which has stupendous potentiality. Besides that, cascading the both methods analyze the result and find the percentage of error of segmentation. It also derives algorithm of the working procedure of the methods and the accuracy of the segmentation. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Electrical and Electronic Engineering, Islamic University of Technology,Board Bazar, Gazipur, Bangladesh | en_US |
| dc.title | Breast Tumor Detection Using Segmentation Method on Elastography Images | en_US |
| dc.type | Thesis | en_US |
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