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    ASIA unversity > 資訊學院 > 資訊工程學系 > 會議論文 >  Item 310904400/13555


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/13555


    Title: Computer Aided Diagnosis for Pulmonary Nodule on Low-Dose Computed Tomography (LDCT) using Density Features
    Authors: 沈偉誌;Shen, Wei-Chih
    Contributors: 資訊工程學系
    Date: 2011-08
    Issue Date: 2012-11-22 09:15:32 (UTC+0)
    Abstract: Low dose CT (LDCT) is imperative in pursuing early detection of lung cancer. From October 2008 to September 2010, 25 patients with 31 nodules were found in the health examination and underwent surgical operations at China Medical University Hospital . Of which, the lesions is classified into atypical adenomatous hyperplasia (AAH), bronchioloalveolar carcinoma (BAC), malignant, or benign other than AAH in the pathologic results. In this study, objective and standardized features were defined based on the CT number analysis in order to describe lesions and construct a computer aided diagnosis system. The diagnostic performance of constructed system is 70.97% in the accuracy index.
    Relation: International Conference on Computer Graphics, Imaging and Visualisation
    Appears in Collections:[資訊工程學系] 會議論文

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