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Segmentation of sputum cell image for early lung cancer detection

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4 Author(s)
N. Werghi ; Khalifa Universuty, UAE ; C. Donne ; F. Taher ; H. Alahmad

Lung cancer has been the largest cause of cancer deaths worldwide with an overall 5-year survival rate of only 15%. Its early detection significantly increases the chances of an effective treatment. To that end, computer-aided diagnosis system using images of sputum stained smears has been an attractive approach due to its practicality, low cost, and invasiveness. In this context, we present a framework for the detection and segmentation of sputum cells in sputum images using respectively, a Bayesian classification and mean shift segmentation. Our methods are validated and compared with an other competitive technique via a series of experimentation conducted with a data set of 88 images.

Published in:

Image Processing (IPR 2012), IET Conference on

Date of Conference:

3-4 July 2012