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.
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