Isolation of lung cancer from inflammation

Authors:
Md. Jahangir Alam;Sid Ray;Hiromitsu Hama
Affiliations:
Clayton School of Information Technology, Monash University, Victoria, Australia;Clayton School of Information Technology, Monash University, Victoria, Australia;Faculty of Engineering, Osaka City University, Osaka, Japan
Venue:
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Year:
2005

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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.