IUP Publications Online
Home About IUP Magazines Journals Books Archives
     
Recommend    |    Subscriber Services    |    Feedback    |     Subscribe Online
 
The IUP Journal of Information Technology
Detection of Lung Cancer Using Binarization Technique
:
:
:
:
:
:
:
:
:
 
 
 
 
 
 
 

Nowadays, image processing techniques are widely used in several medical areas for image improvement in earlier detection and treatment stages, and the time factor is very important to detect the abnormality issues in target images, especially in various cancer tumors such as lung cancer and brain cancer. The proposed system consists of five basic stages. In the first stage, CT lung image affected with cancer is taken. In the second stage, enhancement technique is applied to get the best level of quality and clarity. In the third stage, segmentation algorithm is applied, and in the next stage, morphological operations erosion and dilation are used to smooth the boundaries of the lung. Finally, in the last stage, feature extraction is applied to obtain the general features from enhanced segmented image which gives indicators of normality or abnormality of image. Simulations are carried out on various lung CT images and are also compared with the existing methods. The superiority of the proposed method is presented and justified. The proposed method gives very promising results of various quality metrics like accuracy, sensitivity, specificity and various other image quality metrics.

 
 

Lung cancer is the uncontrolled growth of abnormal cells that starts off in one or both lungs, usually in the cells that line the air passages. The abnormal cells do not develop into healthy lung tissue; they divide rapidly and form tumor. As tumor becomes larger and more numerous, they undermine the lungs’ ability to provide the blood streams with oxygen. Tumors that remain in one place and do not spread are known as benign tumor, whereas the tumors that spread to blood cells is known as malignant. Lung cancer is a disease of abnormal cells multiplying and growing into tumor. False detection is due to the presence of air in bronchi, presence of ribs and blood vessels (Chaudhary and Singh, 2012; Patil and Kuchanur, 2012; Hadavi et al., 2014; and Tirupal et al., 2017). In various types of cancers, the rate of lung cancer is increasing gradually. The mortality rate of lung cancer is the highest among all other types of cancers. Lung cancer is one of the most serious cancers in the world with the smallest survival rate after the diagnosis, with a gradual increase in the number of deaths every year. Survival from lung cancer is directly related to its growth at its detection time. But people do have a higher chance of survival if the cancer can be detected in the early stages. The cancer cells can be carried away from the lungs in the blood, or lymph fluid that surrounds lung tissue.

 
 

Information Technology Journal,Cancer tumors, Enhancement, Segmentation, Morphological operations, Feature extraction.