The results in the clinical trial of CAD system for lung cancer using helical CT images

Autor: R. Kakinuma, Mitsuru Kubo, Noriyuki Moriyama, Hironobu Omatsu, M. Kaneko, Yoshiki Kawata, Noboru Niki, Kazuhori Kubota, Kenji Eguchi
Rok vydání: 2002
Předmět:
Zdroj: ICIP (1)
Popis: We have developed a computer assisted automatic detection system for lung cancer that detects tumor candidates at an early stage from 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 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. We describe the results of nodule detection for 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.
Databáze: OpenAIRE