Computer-Aided Diagnostic System for Pulmonary Nodules Using Helical CT Images

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概要

• 論文の詳細を見る

• In this paper, we describe a computer-assisted automatic diagnostic system for lung cancer that detects nodule candidates at an early stage from helical CT images of the thorax. Our diagnostic system consists of analytical and diagnostic procedures. In the analytical procedure, first we extract the lung and the pulmonary blood vessel regions using the fuzzy clustering algorithm, then we analyze the features of these regions using image-processing techniques. In the diagnostic procedure, we define diagnostic rules utilizing the extracted features which support the determination of the candidate nodule locations. We show the effectiveness of our system by giving the results from its application to image data for mass screening of 450 patients.

• 香川高等専門学校の論文
• 2003-06-30

著者

• Niki Noboru

  Department Of Optical Science And Technology University Of Tokushima

• KANAZAWA Keizo

  Department of Information Engineering, Takuma National College of Technology

• Kanazawa Keizo

  Department Of Information Engineering Takuma National College Of Technology

関連論文

• Computer-Aided Diagnostic System for Pulmonary Nodules Using Helical CT Images

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