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

Abstract

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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>