作者
Peng Cao, Xiaoli Liu, Jian Zhang, Wei Li, Dazhe Zhao, Min Huang, Osmar Zaiane
发表日期
2017/3/1
期刊
Computer methods and programs in biomedicine
卷号
140
页码范围
211-231
出版商
Elsevier
简介
Objective: The aim of this paper is to describe a novel algorithm for False Positive Reduction in lung nodule Computer Aided Detection(CAD).
Methods: In this paper, we describes a new CT lung CAD method which aims to detect solid nodules. Specially, we proposed a multi-kernel classifier with a ℓ2, 1 norm regularizer for heterogeneous feature fusion and selection from the feature subset level, and designed two efficient strategies to optimize the parameters of kernel weights in non-smooth ℓ2, 1 regularized multiple kernel learning algorithm. The first optimization algorithm adapts a proximal gradient method for solving the ℓ2, 1 norm of kernel weights, and use an accelerated method based on FISTA; the second one employs an iterative scheme based on an approximate gradient descent method.
Results: The results demonstrates that the FISTA-style accelerated proximal descent method is efficient for the ℓ2, 1 …
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P Cao, X Liu, J Zhang, W Li, D Zhao, M Huang… - Computer methods and programs in biomedicine, 2017