Abstract
In the present paper, a method for the detection of malignant and benign tumors on the CT scan images has been proposed. In the proposed method, firstly the area of interest in which the tumor may exist is selected on the original image and by the use of image segmentation and determination of the image’s threshold limit, the tumor’s area is specified and then edge detection filters are used for detection of the tumor’s edge. After detection of area and by calculating the fractal dimensions with less percent of errors and better resolution, the areas where contain the tumor are determined. The images used in the proposed method have been extracted from cancer imaging archive database that is made available for public. Compared to other methods, our proposed method recognizes successfully benign and malignant tumors in all cases that have been clinically approved and belong to the database.
Highlights
More than 9 million people die annually around the world as the result of the chest diseases
Our idea is the use of image analysis and fractal dimension and their combination to detect benign and malignant tumors in lung computerized tomography (CT) scan images with high contrast, better resolution and less rate of error than other methods
The images were read by an operator of CT scan images and the existing abnormalities were identified and marked
Summary
More than 9 million people die annually around the world as the result of the chest diseases. Lung cancer is the second leading reason of death caused by cancer in the world [1]. More than 85% of all lung cancer cases have been attributed directly to smoking [2]. The reduction in mortality of lung cancer can be achieved by doing successfully the three strategies of quitting smoking, early detection and development of treatment methods [3]. It is impossible to detect signs of lung cancer in the early stages, because they are similar to other diseases. Patients with lung cancer are usually detected in advanced stages of disease in which the treatment options are limited and this leads to a very low chance to survive. If patients are diagnosed in the earliest stages, the survival rate will be nearly 70%.When patients are diagnosed at the stages of two and three, the survival rate drops dramatically to 34% and 13%.The initial symptoms of the cancer can be coughing and hemoptysis which turn into chronic and recurrent infection of the chest [4]
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