Automated Feature Selection for the Classification of Meningioma Cell Nuclei-Reference-Cited by-同舟云学术

Automated Feature Selection for the Classification of Meningioma Cell Nuclei

Published: Issue: Volume: Page:76-80
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Container-title:Bildverarbeitung für die Medizin 2006
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Author:

Wirjadi Oliver,Breuel Thomas M.,Feiden Wolfgang,Kim Yoo-Jin

Publisher

Springer-Verlag

Link

http://link.springer.com/content/pdf/10.1007/3-540-32137-3_16.pdf

Reference8 articles.

1. Kim YJ, Romeike BFM, Feiden W. Automated morphometric determination of the Ki67 labelling-index in meningiomas: A validation-model for a fast and facile method. Acta Neuropathol 2004;108:357.

2. Rajpoot KM, Rajpoot NM, Turner MJ. Hyperspectral Colon Tissue Cell Classification. In: SPIE Medical Imaging (MI’04). San Diego, California (USA); 2004.

3. Gesu VDi, Bosco GLo, Zavidovique B. Classification Based on Iterative Object Symmetry Transform. In: Proc. 12th International Conference on Image Analysis and Processing (ICIAP 03). vol. 0; 2003. p. 44.

4. Perner P, Perner H, Müller B. Mining Knowledge for Hep-2 Cell Image Classification. Journal Artificial Intelligence in Medicine 2002;26:161–173.

5. Huang PW, Hsu YC, Lin PL, Dai SK. A Decision Tree Approach for Classification of White Blood Cells based on Image Features. In: Signal and Image Processing (SIP 2005). Honolulu, Hawaii, USA; 2005.

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