Abstract
With the present paper we introduce a new Computer Assisted Detection method for Lung Cancer in CT images. The algorithm is based on several sub-modules: 3D Region Growing, Active Contour And Shape Models, Centre of Maximal Balls, but the core of our approach are Biological Models of ants known as Artificial Life models. In the first step of the algorithm images undergo a 3D region growing procedure for identifying the ribs cage; then Active Contour Models are used in order to build a confined area for the incoming ants that are deployed to make clean and accurate reconstruction of the bronchial and vascular tree, which is removed from the image just before checking for nodules.
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© 2006 Springer-Verlag Berlin Heidelberg
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Cheran, S.C., Gargano, G. (2006). Artificial Life Models in Lung CTs. In: Rothlauf, F., et al. Applications of Evolutionary Computing. EvoWorkshops 2006. Lecture Notes in Computer Science, vol 3907. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11732242_47
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DOI: https://doi.org/10.1007/11732242_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33237-4
Online ISBN: 978-3-540-33238-1
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