偽陽性候補低減手法を用いた胸部X線画像コンピュータ支援診断システムの基礎研究

概要

論文の詳細を見る
In recent years, a computer performs analysis of medical picture information and the scheme of computer-aided diagnosis (CAD) which support doctor's diagnosis attracts attention. Chest radiographs can be taken by the comparatively easy method, and are used for diagnosis of the chest disease in a mass screening. Consequently, since the numbers of radiograph become extensive, interpretation impose a heavy burden for doctors. Then, the research of the scheme of computer-aided diagnosis that tells the position of the nodule in a radiograph is advanced, in order to mitigate a doctor's burden. However, since there are many false positive candidates that tell as a candidate what is not the pulmonary nodule accidentally, it is not practical. In this research, we present the false positive candidate reduction technique in the scheme of computer-aided diagnosis intended for pulmonary nodule of chest radiograph.
長岡技術科学大学の論文
2002-01-15