COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2013 (SCI İndekslerine Giren Dergi)
Early detection of pulmonary nodules is extremely important for the diagnosis and treatment of lung cancer. In this study, a new classiication approach for pulmonary nodules from CT imagery is presented by using hybrid features. Four diferent methods are introduced for the proposed system. he overall detection performance is evaluated using various classiiers. he results are compared to similar techniques in the literature by using standard measures. he proposed approach with the hybrid features results in 90.7% classiication accuracy (89.6% sensitivity and 87.5% speciicity).