DIAGNOSIS SUPPORT SYSTEM FOR LUNG CANCER DETECTION BY USING ARTIFICIAL INTELLIGENCE:A Review

Abstract

— The Lung cancer is the most commonly diagnosed cancer and lung is a most frequent site of metastasis from other cancers that manifest as pulmonary nodules. The Chest Computed Tomography (CT) is the most sensitive diagnostic imaging modality for the detection of lung cancer and the resolution of any equivocal abnormalities detected on chest radiographs. We propose , system for early detection of lung cancer nodules from the Chest Computer Tomography (CT) images. There are five main phases involved in the system. They are image pre-processing, extraction of lung region from chest computer tomography images, feature extraction, classification of lung cancer as Benign or Malignant. The main aim of the method is to develop a Computer Aided Diagnosis system for finding the lung tumor using the lung CT images and classify the tumor as Benign or Malignant.