To Achieve Software Quality Assurance in Brain Tumor Detection Using Artificial Neural Networks
DOI:
https://doi.org/10.26438/ijcse/v5i10.118121Keywords:
Quality assurance, Artificial Nural Networks, Pre-processing, Segmantation, Feture extraction, Classification, testingAbstract
Quality assurance is a way of preventing errors and avoiding problems when distributing software to clients. The term quality assurance is refers to ways of ensuring the quality of a product. Here we detect the brain tumor detection with segmentation using genetic algorithm and testing that application output by ANN. Brain is the central nervous system of a human being one of the major causes of death among people is brain tumor. In medical field like this kind of causes are struggling to detect automatically with quality. Here provided solution to detect the tumor automatically the same way testing the automated output by ANN for improving the quality of software. Proposed method integrates image pre-processing, future extraction, segmentation, classification and testing.
References
Parveen and Amritpal singh, "detection of brain tumor in MRI images using combination of fuzzy C-Means and SVM," 2015 2nd International Conference on Signal Processing and Integrated Networks,978-1-4799-5991-4/15/$31.00©2015 IEEE.
Anupurba Nandi, "detection of human brain tumor in MRI image segmentation and morphological operators," 2015 IEEE International Conference on Computer Graphics, Vision and Information Security,978-1-4673-7437-8/15/$31.00©2015 IEEE.
Kalpana U. Rathod and Y. D. Kapse, “MATLAB Based Brain Tumour Extraction Using Artificial Neural Network," International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 4 Issue: 3, IJRITCC | March 2016.
Shweta Jain, “Brain cancer classification using GLCM based feature extraction in artificial neural network,” International Research Journal of Mathematics, Engineering and IT (IRJMEIT) ISSN: (2349-0322) Vol. 3, Issue 7, July 2016.
J. Mohana Sundaram and Dr. T. Karthikeyan, “general study on MRI scan for brain tumor using artificial neural network,”International Research Journal of Mathematics,Engineering and IT,ISSN:2349-0322 Vol.3,Issue 7,July 2016 © Associated Asia Research Foundation.
Vipin Y. Borole, Seema S. Kawathekar, "Study of various DIP Techniques used for Brain Tumor detection and tumor area calculation using MRI images", International Journal of Computer Sciences and Engineering, Vol.4, Issue.7, pp.39-43, 2016.
Sakshi and A. Kaur , "Secure Data Hiding Using Neural Network and Genetic Algorithm in Image Steganography", International Journal of Computer Sciences and Engineering, Vol.5, Issue.2, pp.95-99, 2017.
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