Automatic Segmentation of Mass in mammography images

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I want to use level set segmentation by selecting the ROI in the Mass tumor area not whole the image. The image attached here, I marked Blue line, the tumor area , this is the area that I want to automatically segment. Any idea please and thank you very much

Accepted Answer

Image Analyst
Image Analyst on 26 Feb 2014
I'm not sure how level set method can be used here, at least from the description of it given in given in Wikipedia. Do you have a reference? If not, I'd first try simple thresholding since it looks to be brighter than the surrounding tissue. If that doesn't work I'd try activecontour, like in the attached demo, or maybe try some morphological methods, or just look in the literature for successful methods that have been published already. You're not the first one to try to find anomalous masses in mammograms, so why not use methods already tried and true?
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Ahmad Fouta
Ahmad Fouta on 7 Dec 2015
I applied the code in the active contour demo, and this the image i get: </matlabcentral/answers/uploaded_files/41428/applying%20contour.png>
what modification should I do to highlight the inner mass within the mammogram. and how can it be extracted? Please advice

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More Answers (2)

Nitin
Nitin on 26 Feb 2014
You might want to have a look on Active contours/snake. This site has a nice tutorial including source code in Matlab.
  3 Comments
Warid Islam
Warid Islam on 17 Aug 2020
Hi Anand,
I tried to use the activecontour function on my image to detect tumor. The brightest part of the image is the tumor. But I am not getting any result.

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Faraz
Faraz on 11 Sep 2015
Bro, that's not the tumour area and this is not how you do it. This is fibroglandular tissue (with possibly tumour hiding somewhere, or possibly not) may be BIRADS 3 mammogram. Its the breast region you are trying to segment? But if you think you are segmenting mass here, you are wrong!
You may want to try superpixel based SLIC segmentaion instead of levelsets etc. , google it .. there are a number of implementations available (e.g vlfeat.org).

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