Lung tumour detection and classification using EK-Mean clustering

  title={Lung tumour detection and classification using EK-Mean clustering},
  author={P. B. Sangamithraa and Senthil Kumar Govindaraju},
  journal={2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)},
In recent years the image processing techniques are used commonly in various medical areas for improving prior detection and treatment stages, in which the time span or elapse is very important to identify the disease in the patient as possible as fast, especially in many tumours such as the lung cancer, breast cancer. This system first segments the region of interest (lung) and then analyses the separately obtained area for nodule detection in order to examine the disease. Even with several… CONTINUE READING


Publications referenced by this paper.

A.Abbas, S.M.Ali, “Estimating the Lung Tumor size in CT images using Image Segmentation Techniques

  • Faleh.H.Mahmood, Wafaa
  • International Journal of Emerging Technology and…
  • 2014

Cancer Detection Using Artificial Neural Network & Fuzzy Clustering

  • Masaood A. Hussain, Tabassum M. Ansari, “Lung
  • International Journal of Advanced Research in…
  • 2014

StefanEberl,“Lung Tumor Delineation Based on Novel Tumor- Background Likelihood Models in CT Images

  • Xiuying Wang, Cherry Ballangan, Hui Cui, Michael Fulham
  • IEEE Transactions on Nuclier Science,
  • 2014

Khedr,“Enhanced K-Mean Algorithm to Improve Decision Support System Under Uncertain Situations”,International

  • Ahmed bahgat El Seddaway, Prof.S.Turkey Sultan, Dr. Ayman
  • Journal of Modern Engineering Research (IJMER…
  • 2012

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