Multi-Class SVMs Based on Priority for Computer-Aided Diagnosis of Lung Nodules in CT Images
A priority based ‘One against all (OAA)’ Multi-class Least Square-Support Vector Machines is designed to remove the unclassifiable regions exist in basic OAA. POAA develops the sensitivity and specificity in Computer-aided Diagnosis (CAD) for detection of lung nodules.
Yungang Li, Pengcheng Wang, Liqun Ai, Xiaoming Sang and Jinglong Bu
Q. Z. Wang et al., "Multi-Class SVMs Based on Priority for Computer-Aided Diagnosis of Lung Nodules in CT Images", Advanced Materials Research, Vols. 291-294, pp. 2742-2745, 2011