I am trying to understand how image processing is applied for detection of cancer tumor using image processing. Towards this direction I am trying to get latest information i.e state of the art in this area. I found one book titled

"Image-Processing Techniques for Tumor Detection"

But this is more than 10 years old and I think lots of new developments must have taken place since then.

I will be thankful if somebody can point me to references which are latest on the subject.

  • 1
    $\begingroup$ Try google scholar and sort by date. I think different cancers will have different techniques. E.g. compare breast cancer to prostate cancer. $\endgroup$ May 4 '13 at 12:18
  • 2
    $\begingroup$ You don't indicate the physical measure that would be represented on your images. X-Rays ? 2-D / 3-D ? I suppose the algorithms would highly depend upon the physical input represented on the image. For example, if you can target cancer cells with gold nanoparticle (I have read that one/two years ago), the detection would be straightforward - the researcher wanted to use this technique to improve the efficiency of X-Ray tumor destruction. $\endgroup$ May 4 '13 at 13:37
  • $\begingroup$ I know that active counters and/or mser regions were successfully for some cancer types though , I dont know of any specific articles ... $\endgroup$ Jun 9 '13 at 18:42

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