Are there any method for detection a tumor using Matlab? Such as breast cancer, brain tumor, lung tumor.. etc
please support me by any materials related with this subject.
It's not my specific area of expertise but I can direct you to some who work on it:
Methods: yes. There is tons of literature out there that gives methods to do this. Just do a google scholar search on "tumor segmentation". Or check this researcher's publications: https://sites.google.com/site/marcelprastawa/
Implementation: If you want a specific implementation in, say, Matlab you can google some code. Eg: http://www.mathworks.com/matlabcentral/answers/78776-how-segmenting-brain-tumor-using-matlab-code.
More links: Lots of researcher's are specifically working on segmentation of MRI images etc, using computational methods. Most of them use Matlab. You can directly contact students/researchers working for
http://www.sci.utah.edu/~gerig/publications.html
to ask if they have specific open source implementation in Matlab and I'm sure they'll be happy to help.
Hi Zaid, that is a very wide question.
I am closely working in this field,although it is not the specific topic of my research. Anyway, I first tell you that it depends. It depends on(some examples):
- Which is the location of the tumor. According to this(prostate, lung, brain..), image modalities used may be different. (PET,MRT1,T2...)
- Which kind of tumor. For instance, in brain tumors, does it infiltrate? or does it push to surrounding tissue?
- Which kind of user interaction? The approach could be different if you want a semi-automatic or a fully automatic method.
As examples:
- In lung cancer tumor(non-small cell lung cancer), I have seen methods like: threshold based(rule of 40%), random walkers,fuzzy cluster or graph cuts.
- In brain cancers, also interactive approaches like graph cuts can be applied. Or fully automatic methods like machine learning approaches.
Having said that I think that you will be able to find the matlab implementation of most of these or other techniques.
Cheers!
Thank toy for your answers Anshul Joshi and Jose Dolz. I'll try to implement your advise
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