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

来源：

PROCEEDINGS OF THE 21ST IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS | 2008年

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

页码：587 / +

页数：2

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