J Lung Cancer.
2004 Dec;3(2):67-70.
Computer-aided Diagnosis for Lung Cancer
- Affiliations
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- 1Deparment of Radiology, School of Medicine, Chungnam National University, Daejeon, Korea. michelan@cnu.ac.kr
Abstract
- Lung cancer is a leading cause of cancer death in the developed countries and the key to improving cancer prognosis is diagnosis at an early stage. For this reason, lung cancer screening using low-dose, multi-channel computed tomography (LDCT screening) is becoming popular in theses days. LDCT screening causes large amount of datasets to be interpreted and CAD has an advantage for the interpretation of large amount of images without fatigue or variation. Therefore, CAD can be used for diagnosis of lung cancer as a second reader for the detection, characterization of pulmonary nodules, evaluation of volume and changes on follow-up examination. It is important to verify the performance of CAD program based on large and reliable datasets
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