Developing Advanced Algorithms for Medical Image Analysis

Abstract

Abstract Lung cancer represents the leading cause of death for malignancy in the world. Pulmonary nodules are caused by the uncontrollable irregular growth of cells in the lung parenchyma. Detecting these nodules in the lung tissue in an early phase increases the chances of survival for the patient and improves the efficiency of the treatment. Computed Tomography (CT) is one of the most sensitive methods for detecting pulmonary nodules. A thin-section CT scan of the whole thorax generates a large data set and requires radiologists to spend a considerable amount of time interpreting the images. As a means to reduce radiologists' workload, Computer-Aided Detection (CAD) systems may be used. CAD systems help scan digital and highlight conspicuous sections, such as possible diseases, and provide a second