Detection of Pulmonary Nodules based on Multi-class Latent SVMs from CT images
Wang Qing-zh · Journal of Northeast Dianli University · 2013
Two-class latent SVMs and multi-class SVMs based on encoding are combined to design multi-class latent SVMs. The algorithm can fully analyze information of above two SVMs: variety and location of the objects. Multi-class latent SVMs is used to a 65-case database from Jilin Tumor Hospital,and the test results indicate that performance of algorithm in the paper is better than other 4 CAD schemes.