Computer assisted diagnosis of lung cancer using helical X-ray CT

Describes a computer assisted diagnosis system of lung cancer that detects early stage candidate tumors from helical X-ray CT images with precise measurement conditions. Recently, helical X-ray CT images have been used for the mass screening process as a tool for diagnosis, but considering the number of images to be checked, the checking time is too long. Here the authors develop a diagnosis system that can detect the candidate area for the lung cancer´s tumor in its early stage. The authors´ diagnostic algorithm is based on image processing techniques and medical knowledge. From results of the application to patients of lung cancer, the authors present the effectiveness of their algorithm