Abstract
Lung cancer seems to be the common cause of death among people throughout the world. Early detection of lung cancer can increase the chance of survival among people. The overall five-year survival rate for lung cancer patients increases from 14% to 49% if the disease is detected in time. However, problems regarding several diagnosing methods used seemed to merge due to time constraints in detecting the presence of lung cancer. Hence, a lung cancer detection system using image processing is used to classify the present of lung cancer in computerized tomography images. In this study, MATLAB R2017a software has been used through each procedure.
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.
