Lung Cancer Detection Using Marker Controlled Watershed with SVM

Authors

  • Fatema Tuj Johora Department of Computer Science and Engineering, Green University of Bangladesh, Dhaka
  • Mehdi Hassan Jony Research Assistant with the The Hefei University of Technology, China
  • Md Shakhawat Hossain Department of Computer Science and Engineering, Green University of Bangladesh, Dhaka, Bangladesh
  • Humayun Kabir Rana Department of Computer Science and Engineering, Green University of Bangladesh, Dhaka, Bangladesh

DOI:

https://doi.org/10.3329/gubjse.v5i1.47897

Keywords:

Lung Cancer Detection, Gabor Filter, Computed Tomography, Marker-Controlled Watershed, GLCM, SVM.

Abstract

Lung cancer is one of the most dangerous diseases and prediction of it, is the most challenging problem nowadays. Most of the cancer cells are overlapped with each other. It is hard to detect the cells but also essential to identify the presence of cancer cells in the early stage. Early detection of lung cancer may reduce the death rate. In this study, we used the Grey Level Co-occurrence Matrix (GLCM) to extract the feature of cancer affected lung image and then Support Vector Machine (SVM) has been used to detect normal and abnormal lung cells after implementing the features. Our experimental evaluation using MATLAB demonstrates the efficient performance of the proposed system and in the result.

GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 5(1), Dec 2018 P 24-30

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Published

2018-06-28

How to Cite

Johora, F. T., Jony, M. H., Hossain, M. S., & Rana, H. K. (2018). Lung Cancer Detection Using Marker Controlled Watershed with SVM. GUB Journal of Science and Engineering, 5(1), 24–30. https://doi.org/10.3329/gubjse.v5i1.47897

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Articles