The week's pick
Reseach Article
Comparative Study on Cancer Image Diagnosis using Soft Computing Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 19 - Number 5 |
| Year of Publication: 2011 |
| Authors: V.Sivakrithika, B.Shanthi |
10.5120/2358-3087
|
V.Sivakrithika, B.Shanthi . Comparative Study on Cancer Image Diagnosis using Soft Computing Techniques. International Journal of Computer Applications. 19, 5 ( April 2011), 19-23. DOI=10.5120/2358-3087
Abstract
Computer-aided diagnosis system (CAD) can be very helpful for radiologist in detection and diagnosing abnormalities earlier and faster than traditional screening programs. CAD as such employs several techniques to accomplish this task. In this paper, we propose to make a comparative study of two classification methods: One in which we utilize the texture features extracted from the images by directly feeding to the Neural Network based classifier stage to classify the images into benign or malign and in the other hybrid method, those texture features are made to undergo fuzzy discretization before feeding to the Neural Network classifier for the classification. The studies so far conducted using both the systems show that the hybrid system is far superior to the first method in its accuracy. Backward Propagation Network (BPN) algorithm is used in the training stage.
References
- Jinshan Tang, M. Rangayyan,, Jun Xu, Issam El Naqa, Yongyi Yang, “Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances”, IEEE Transactions On Information Technology In Biomedicine, Vol. 13, No. 2, March 2009.
- J.Han,M.Kamber , Data Mining : Concepts and Techniques , Morgan Kaufmann Publishers, San Francisco ,2000.
- Jesmin Nahar, Kevin S. Tickle, A B M Shawkat Ali, Yi-Ping Phoebe Chen”, Early Breast Cancer Identification: Which Way to Go? Microarray or Image Based Computer Aided Diagnosis! ”, 2009 Third International Conference on Network and System Security, IEEE.
- Robert .M, Haralick .K “Textural Features For Image Classification”IEEE Trans. On Systems, Man and Cybernetics, Vol. SMC-3, No.6, November 1973.
- M.Vasantha,R.Dhamodharan, ”Medical Image Feature, Extraction, Selection And Classification”, International Journal Of Engineering Science And Technology Vol. 2(6), 2010, 2071-2076.
- Qurat-Ul-Ain, Ghazanfar Latif, Sidra Batool Kazmi, M. Arfan Jaffar, Anwar M. Mirza “Classification And Segmentation Of Brain Tumor Using Texture Analysis”, Recent Advances In Artificial Intelligence, Knowledge Engineering And Data Bases.
- Jenn-Lung Su, Guo-Zhen Wu, I-Pin Chao,” The Approach Of Data Mining Methods For Medical Database”, 2001 Proceedings of the 23rd Annual EMBS International Conference.
- Brijesh Verma and John Zakos “A Computer-Aided Diagnosis System for Digital Mammograms Based on Fuzzy-Neural and Feature Extraction Techniques“IEEE Transactions On Information Technology In Biomedicine, Vol. 5,No.1, March 2001.
- Holalu Seenappa Sheshadri and Arumugam Kandaswamy,”Breast Tissue Classification Using Statistical Feature Extraction Of Mammograms”, Vol.23 No.3,2006.
- KarlaTaboada, EloyGonzales, KaoruShimada ,ShingoMabu and KotaroHirasawa ,”Discovering Fuzzy Classification Rule Using Genetic Network Programming”, SICE Annual Conference 2008.
Index Terms
Keywords