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Proceedings Paper

Fractal geometry-based classification approach for the recognition of lung cancer cells
Author(s): Deshen Xia; Wenqing Gao; Hua Li
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Paper Abstract

This paper describes a new fractal geometry based classification approach for the recognition of lung cancer cells, which is used in the health inspection for lung cancers, because cancer cells grow much faster and more irregularly than normal cells do, the shape of the segmented cancer cells is very irregular and considered as a graph without characteristic length. We use Texture Energy Intensity Rn to do fractal preprocessing to segment the cells from the image and to calculate the fractal dimention value for extracting the fractal features, so that we can get the figure characteristics of different cancer cells and normal cells respectively. Fractal geometry gives us a correct description of cancer-cell shapes. Through this method, a good recognition of Adenoma, Squamous, and small cancer cells can be obtained.

Paper Details

Date Published: 11 May 1994
PDF: 7 pages
Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); doi: 10.1117/12.175078
Show Author Affiliations
Deshen Xia, East China Institute of Technology (China)
Wenqing Gao, East China Institute of Technology (China)
Hua Li, East China Institute of Technology (China)

Published in SPIE Proceedings Vol. 2167:
Medical Imaging 1994: Image Processing
Murray H. Loew, Editor(s)

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