Tumour Detection Using Clustering Methods

Authors

  • Sukanya Roy  Department of CSE, University of Engineering, Management(UEM), Kolkata, Bengal, India
  • Prateek Banerjee  Department of CSE, University of Engineering, Management(UEM), Kolkata, Bengal, India
  • Prasun Biswas  Department of CSE, University of Engineering, Management(UEM), Kolkata, Bengal, India
  • Aditi Chatterjee   Department of CSE, University of Engineering, Management(UEM), Kolkata, Bengal, India
  • Ritwik Goswami  Department of CSE, University of Engineering, Management(UEM), Kolkata, Bengal, India
  • Sagnik Kanta  Department of CSE, University of Engineering, Management(UEM), Kolkata, Bengal, India
  • Suman Paul  Department of CSE, University of Engineering, Management(UEM), Kolkata, Bengal, India

Keywords:

Image Segmentation, Pixels, Cluster, K-Means Clustering, Fuzzy C-Means Clustering.

Abstract

As we know that brain tumour detection is a very crucial task, so in this paper we have tried to focus on this matter using image clustering, which is a process of grouping together of pixels having similar attributes. Previously many researches have been done in this field using clustering methods. Here we will use some of the famous clustering methods like the K-means Clustering and the Fuzzy C-means Clustering for the said purpose of tumour detection.

References

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  2. Rajshekhar Ghogge, "Brain tumour detection using K-Means and Fuzzy C-Means Clustering Algorithm". International Journal of Science, Engineering and Technology Research (IJSETR),  Volume 3, Issue 7, July 2014.
  3. Alan Jose, S. Ravi and M. Sambath, "Brain Tumour Segmentation using K –means Clustering and Fuzzy C-means Algorithm and its Area Calculation". International Journal of Innovative Research in Computer and Communication Engineering, vol. 2, issue 2, March 2014.
  4. Rasel Ahmmed and Md. Foisal Hossain, "Tumour Detection in Brain MRI Image Using Template based K-means and Fuzzy C-means Clustering Algorithm". 2016 International Conference on Computer Communication and Informatics (ICCCI -2016), Jan. 07 – 09, 2016, Coimbatore, INDIA.
  5. K.A. Abdul Nazeer and M.P. Sebastian, "Improving the Accuracy and Efficiency of the k-means Clustering Algorithm". Proceedings of the World Congress on Engineering, London, WCE, vol. 1, July (2001).
  6. B. Sathya and R. Manavalan, "Image Segmentation by Clustering Methods: Performance Analysis". International Journal of Computer Applications (0975 – 8887) Volume 29 No.11, September 2011.

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Published

2018-02-28

Issue

Section

Research Articles

How to Cite

[1]
Sukanya Roy, Prateek Banerjee, Prasun Biswas, Aditi Chatterjee , Ritwik Goswami, Sagnik Kanta, Suman Paul, " Tumour Detection Using Clustering Methods, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1310-1314, January-February-2018.