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i am student, i want to detect the tumour that is lung cancer cells present in lungs using template matching algorithm.

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i have an image of lung effected with cancer. what i want to do is, first i want to eliminate noise if present in image by using a filter.for this can u provide best result. i known wiener function. and then i want to make image segmentation for finding the effected cells base on intensities. after that what i want to do is template matching with some predefined data base. i want your help friends.
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Accepted Answer

Image Analyst
Image Analyst on 29 Sep 2015
There are tons of papers on lung cancer image processing/analysis. You can find a list of some/most of them (at least in the Image Processing Journals) here:
20.7.2 Lungs, and Lung Cancer Image Analysis
20.7.2.1 Thorax, Thoracic Analysis
20.7.2.2 Pulmonary Nodules, Lung Nodules
There may also be some others in the medical journals. We don't have code for any of those papers so you'll have to ask the authors or code them up yourself. And I'm sure every author is presenting what they think is the best method, but I have no way of knowing which is really best, or even appropriate, for your kind of images. Good luck.
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sri aravind
sri aravind on 2 Oct 2015
I accept, what you said Mr.Walter Roberson. I am feeling very happy for all of your support and to make my decisions in a manner which can I move towards the goal in a correct way. I am very thankful to all of you sir's for giving such a valuable suggestions.

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