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

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