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3 July 2001 Clinical test results of computer-aided detection system for lung cancer using helical CT images
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Abstract
We have developed a computer assisted automatic detection system for lung cancer that detects tumor candidates at an early stage form helical CT images. In July 1997, we started the comparative field trial using our system prospectively. Chest CT images obtained by helical CT scanner have drawn a great interest in the detection of suspicious regions. However, mass screening based on helical CT images leads to a considerable number of images to be diagnosed. We expect that our system can reduce the time complexity and increase diagnostic confidence. In this paper, we describe the detection results of the system for the nodules of definite diagnosis. We show the prospective results and the retrospective results. These results show that the system can detect lung cancer candidates at an early stage successfully and can be applied to a mass screening. In addition, we describe the necessity of the CAD system having the function which can be compared with the previous CT images.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kazuhori Kubota, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Kenji Eguchi, Hironobu Omatsu, Ryutaro Kakinuma, Masahiro Kaneko, and Noriyuki Moriyama "Clinical test results of computer-aided detection system for lung cancer using helical CT images", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); https://doi.org/10.1117/12.431083
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