Isolation of Lung Cancer from Inflammation

  • Md. Jahangir Alam
  • Sid Ray
  • Hiromitsu Hama
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)

Abstract

In this paper we propose an efficient new algorithm for making an intelligent system for isolating the lung cancer from the inflamed region using needle biopsies. The best way among the cancer treatments, surgery, is the way that can be used for the removal of a malignant tumor in an operation. It is most effective when a cancer is small and localized. Identification and removal of the cancer cells in their earliest formation are very much important. Almost all of the diagnostic laboratories in the world use experts to identify the suspected cells of the lung tumors under microscope. Due to the smaller number of experts, the proposed method, derived based on image contour analysis, has an important significance to replace the manual methods by an intelligent system.

Keywords

Lung Cancer Equilibrium Number Contour Extraction Cell Contour Suspected Lung Cancer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Md. Jahangir Alam
    • 1
  • Sid Ray
    • 1
  • Hiromitsu Hama
    • 2
  1. 1.Clayton School of Information TechnologyMonash UniversityAustralia
  2. 2.Faculty of EngineeringOsaka City UniversityOsakaJapan

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