Bilgisayar Destekli Tanı Sistemi ile Akciğer Nodüllerinin Nitelendirilmesi

Abstract

Lung cancer is one of the leading causes of cancer related deaths worldwide, especially in industrially developed countries. Major problems in diagnosis are caused by high volume of visual data and difficulty of detection of solitary/small pulmonary nodules. Computer aided diagnosis systems are expert systems to assist radiologists on these issues.In this thesis, classification approaches for predicting malignancy of solitary pulmonary nodules are presented. Publicly available Lung Image Database Consortium (LIDC) database which is proposed by USA National Cancer Institute is used in the study. LIDC contains malignancy and nodule characteristics evaluations of radiologists from four different institutions. The goal of this thesis is to examine the usefulness of radyographic descriptors in malignancy prediction.