Lung Cancer Detection using Artificial Neural Network
Keywords:
Early Detection; HOG+GLCM Algorithm; Thresholding Method; Watershed Transformation.Abstract
Computed tomography technology is one of the important technology techniques, which shows the
inside part of the human body through scanning the specific area. Pulmonary Segmentation of lungs from chest
CT images is useful in diagnosis of abnormalities and surgery planning. In proposed method, Lung is
segmented from chest CT using thresholding method and watershed transformation contributes to improve the
numerical results for image segmentation. Further processing is carried out to visualize fissures characteristics
and each segment inside the lung. Lung fissures are extracted using GLCM. The method is evaluated on chest
CT images of normal and abnormal cases classification of Neural Network.
