Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction-Reference-Cited by-同舟云学术

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Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction

Published:2010-09 Issue:1 Volume:50 Page:43-53
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Lee Michael C.,Boroczky Lilla,Sungur-Stasik Kivilcim,Cann Aaron D.,Borczuk Alain C.,Kawut Steven M.,Powell Charles A.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference46 articles.

1. Cancer statistics;Jemal;Ca-a Cancer Journal for Clinicians,2008

2. Determining the likelihood of malignancy in solitary pulmonary nodules with Bayesian analysis. Part I. Theory;Gurney;Radiology,1993

3. Computerized analysis of the likelihood of malignancy in solitary pulmonary nodules with use of artificial neural networks;Nakamura;Radiology,2000

4. Computer-aided diagnosis of pulmonary nodules on CT scans: Segmentation and classification using 3D active contours;Way;Medical Physics,2006

5. Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network;Suzuki;IEEE Transactions on Medical Imaging,2005

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