Abstract
Lung cancer has been the largest cause of cancer deaths worldwide with an overall 5-year survival rate of only 15%. Its symptoms can be found exclusively in advanced stages where the chances for patients to survive are very low, thus making the mortality rate the highest among all other types of cancer. The present work deals with the attempt to design computer-aided detection or diagnosis (CAD) systems for early detection of lung cancer based on the analysis of sputum color images. The aim is to reduce the false negative rate and to increase the true positive rate as much as possible. The early detection of lung cancer from sputum images is a challenging problem, due to both the structure of the cancer cells and the stained method which are employed in the formulation of the sputum cells. We present here a framework for the extraction and segmentation of sputum cells in sputum images using, respectively, a threshold classifier, a Bayesian classification and mean shift segmentation. Our methods are validated and compared with other competitive techniques via a series of experimentation conducted with a data set of 100 images. The extraction and segmentation results will be used as a base for a CAD system for early detection of lung cancer which will improve the chances of survival for the patient.
Highlights
Lung cancer is considered the leading cause of cancer death throughout the world
In this paper we presented methods for extraction and segmentation of sputum cells for the purpose of lung cancer early detection
The sputum cell extraction has been addressed with threshold techniques and Bayesian classification
Summary
Lung cancer is considered the leading cause of cancer death throughout the world. More people die because of lung cancer than any other type of cancer such as breast, colon, and prostate cancers.Optimistically, there is significant evidence indicating that the early detection of lung cancer will decrease the mortality rate, by using asymptomatic screening methods, followed by effective treatment.Lung cancer symptoms consist of shortness of breath, wheezing, chest pain that does not get better, coughing accompanied with blood, difficulty in swallowing, and loss of weight and appetite [1]. Lung cancer is considered the leading cause of cancer death throughout the world. More people die because of lung cancer than any other type of cancer such as breast, colon, and prostate cancers. There is significant evidence indicating that the early detection of lung cancer will decrease the mortality rate, by using asymptomatic screening methods, followed by effective treatment. The most recent estimate statistics according to the American Cancer Society indicate that 226,160 new cases will be diagnosed (116,470 in men and 109,690 in women) in US, and there will be estimated. 160,340 mortalities from lung cancer (87,750 in men and 72,590 among women) [2]. Based on statistics from the World Health Organization (WHO), deaths caused by cancer will reach about 12 million people in 2030
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
