A multi-classifier system for pulmonary nodule classification

被引:2
|
作者
Antonelli, Michela [1 ]
Cococcioni, Marco [1 ]
Lazzerini, Beatrice [1 ]
Marcelloni, Francesco [1 ]
Stefanescu, Dan [2 ]
机构
[1] Univ Pisa, Dept Informat Engn, Via Diotisalvi 2, I-56122 Pisa, Italy
[2] Suffolk Univ, Dept Math & Comp Sci, Boston, MA 02114 USA
关键词
D O I
10.1109/CBMS.2008.70
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We have developed a multi-classifier system for automatic classification of pulmonary nodules in lung CT (Computed Tomography) images. The system consists of a set of independent modules, each emulating a radiologist of a team, and a further module aimed at appropriately combining the radiologists' opinions. In the experiments we obtained a sensitivity of 95% against a specificity of 91.33% adopting a combiner based on the decision templates technique.
引用
收藏
页码:587 / +
页数:2
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