Otomasi Pendeteksian Posisi dan Luas Kanker Paru Pada Citra CT-Scan

Abstract

Lung cancer is a disease that requires serious treatment to save the life of a patient. For these needs, medical workers need the support of accurate information. Currently the most widely performed is the analysis of the presence of lung cancer is to use a CT-Scan image. Visually, this image of advantages besides the picture quality is much better than X-ray image, is also able to provide information on the possible location of lung cancer and can provide a snapshot of the volume of the cancer itself. However, the analysis manually is laborious and requires a relatively long time. And so we need the help of computers and digital image processing in its processing automatically. This study aims to develop algorithms that can automatically detect areas of suspected lung cancer with pulmonary reconstructed to obtain three-dimensional images (3D). For that reason this paper will elaborate on the development of algorithms that can automatically detect areas of suspected lung cancer.