Diagnosis of lung nodule using Moran’s index and Geary’s coefficient in computerized tomography images-Reference-Cited by-同舟云学术

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Diagnosis of lung nodule using Moran’s index and Geary’s coefficient in computerized tomography images

Published:2007-10-16 Issue:1 Volume:11 Page:89-99
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

da Silva Erick Corrêa,Silva Aristófanes Corrêa,de Paiva Anselmo Cardoso,Nunes Rodolfo Acatauassu

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s10044-007-0081-y.pdf

Reference51 articles.

1. Anselin L (2001) Computing enviroments for spatial data analysis. J Geogr Syst 2:201–220

2. Anselin L, Kim Y, Syabri I (2004) Web-based analytical tools for the exploration of spatial data. J Geogr Syst 6:197–218

3. Arimura H, Katsuragawa S, Suzuki K, Li F, Shiraishi J, Sone S, Doi K (2004) Computerized scheme for automated detection of lung nodules in low-dose CT images for lung cancer screening. Acad Radiol 11:617–629

4. Armato SG III, Giger ML, Moran CJ, Blackburn JT, Doi K, MacMahon H (1999) Computerized detection of pulmonary nodules on CT scans. Radiographics 19(5):1303–1311

5. Armato SG III, Li F, Giger ML, MacMahon H, Sone S, Doi K (2002) Lung cancer: Performance of automated lung nodule detection applied to cancers missed in a CT screening program. Radiology 225:685–692

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