# Mammographic tumer identification

**URL:** <https://discourse.slicer.org/t/mammographic-tumer-identification/15254>\
**Category:** Support\
**Created:** [December 28, 2020, 6:59pm UTC](https://discourse.slicer.org/t/mammographic-tumer-identification/15254 "2020-12-28T18:59:13Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![gabrielasliwa](https://avatars.discourse-cdn.com/v4/letter/g/cdc98d/32.png) [@gabrielasliwa](https://discourse.slicer.org/u/gabrielasliwa)\
**Post date:** [December 28, 2020, 6:59pm UTC](https://discourse.slicer.org/t/mammographic-tumer-identification/15254/1 "2020-12-28T18:59:14Z")

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I’m biomedical engineering student and I’m new in slicer and I don’t know a lot of funcions.  
My biggest isue is that i don’t know how identificate a tumer on mammographic picture. Which function should i use? Should I search in segmant editor?

If someone is polish it would be much easier, thank you.

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**Author:** ![lassoan](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/lassoan/32/13_2.png) [@lassoan](https://discourse.slicer.org/u/lassoan)\
**Post date:** [December 28, 2020, 9:48pm UTC](https://discourse.slicer.org/t/mammographic-tumer-identification/15254/2 "2020-12-28T21:48:38Z")

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There is only a small subset of tumors that you can identify from mammography. Many tumors do not show up at all in X-ray mammography images, while others may look suspicious but not end up being malignant lesions. So, identification of of tumors on mammo images is not really a software issue, but a hard, probably unsolvable clinical problem (using mammography alone is just not enough to identify tumors).

Of course you can still train a neural network to identify suspicious lesions on mammo images, and even though it is not perfect, can still be practically useful. I would assume that there are lots of training data sets available to train your network and probably there are dozens of solutions already proposed for this. So, I would recommend to start with some web and literature search and try to reproduce results reported by others.