Early Detection of Lung Cancer from CT Scan Images Using Binarization Technique

EasyChair Preprint no. 545

Abstract

Lung cancer is one of the most dangerous diseases and prediction of cancer is the most challenging problem nowadays. Most of the cancer cells are overlapped with each other. It is hard to detect the cell but also essential to identify the presence of cancer cells in the early stage unless unable to prevent. Early detection of lung cancer can reduce 14-49% of the death rate. An extensive review for the detection of lung cancer by the former researcher using image processing techniques is presented. Here, We work with CT scan images which are more efficient then X-ray. In this paper, MATLAB is used for processing some images with image enhancement and image segmentation procedures. In our proposed method, Binarization technique is used to alter binary image and then compare it with a threshold value to detect abnormal lung of patients. The performance of the proposed system shows satisfactory results.

Keyphrases: Binarization, Computed Tomography (CT), feature extraction, Gabor filter, Lung Cancer Detection

@Booklet{EasyChair:545,
  author = {Fatema Tuj Johora and Mehdi Hassan Jony and Parvin Khatun and Humayan Kabir Rana},
  title = {Early Detection of Lung Cancer from CT Scan Images Using Binarization Technique},
  howpublished = {EasyChair Preprint no. 545},

  year = {EasyChair, 2018}}