Computer-aided diagnosis for lung cancer using a classifier ensemble

被引：0

作者：

Boroczky, L. ^{[1
]}

Lee, M. C. ^{[1
]}

Zhao, L. ^{[1
]}

Agnihotri, L. ^{[1
]}

Powell, C. A. ^{[2
]}

Borczuk, A. C. ^{[2
]}

Kawut, S. ^{[2
]}

Buonomo, F. ^{[2
]}

Cann, A. ^{[2
]}

Wajngurt, D. ^{[2
]}

Wilgus, M. -L. ^{[2
]}

Sungur, K. ^{[2
]}

Silfen, E. ^{[1
]}

机构：

[1] Philips Res North Amer, Briarcliff Manor, NY 10510 USA

[2] Columbia Univ, Coll Phys & Surg, New York, NY USA

来源：

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY | 2007年 / 2卷

关键词：

Lung cancer; Solitary pulmonary nodule; Computer-aided diagnosis; Classifier ensemble; Support vector machine;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

A computer-aided diagnosis system to predict the likelihood of malignancy of solitary pulmonary nodules using CT scans and clinical information is proposed. It is based on state-of-the-art image processing and machine learning techniques, such as classifier ensembles of support vector machines. The proposed system achieves a high degree of sensitivity and specificity.

引用

页码：S362 / S364

页数：3

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