학술논문
Ability of Density Feature in Low-Dose Computed Tomography for Evaluating Screened Lung Tumor
Document Type
Conference
Author
Source
2012 Sixth International Conference on Genetic and Evolutionary Computing Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on. :304-307 Aug, 2012
Subject
Language
Abstract
To explore the diagnostic value of density features in lung tumor screened from low dose computed tomography (LDCT) with thin section. a computer-aided diagnosis (CAD) system was established to assist in defining tumor and density features. Forty-eight surgically confirmed tumors in 38 patients screened by thin-section LDCT were retrospectively enrolled in consecutive manner to examine the performance of this system. the confirmed surgical results included 29 malignant and 19 benign tumors. the pathology of malignancy were adenocarcinoma (AdCa, n=17) and adenocarcinoma in situ (AdIs, n=12). the benignancy included atypical adenomatous hyperplasia (AAH, n=11) and benign non-AAH (n=8). of density features, tumor Entropy provided the best power to differentiate malignancy from benignancy (p