Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Microcalcification detection using CNN ! #2

Closed
Maya1994 opened this issue Apr 27, 2017 · 2 comments
Closed

Microcalcification detection using CNN ! #2

Maya1994 opened this issue Apr 27, 2017 · 2 comments

Comments

@Maya1994
Copy link

hello, Thanks for this code,
Actually, I'm interested in microcalcification detection using CNN algorithm.
Is it possible to modify your code so that i detect microcalcif in mammo ? if yes, How can i proceed plz !

Thanks,

@ecobost
Copy link
Owner

ecobost commented Apr 28, 2017

The approach is the same for any kind of lesion segmentation. Lesion segmentation meaning given a mammogram as input output an image of the same dimensions with 1s where the lesion is present and 0 everywhere else (or equivalently output an image of the same size with per-pixel probabilities of presence of lesion). The difference is that the mask used for training have to mark microcalcifications as positive and the rest as negative, (whether to mark both masses and microcalcifications as positive is a design decision). Once you've gotten a microcalcification database and generated the masks, you should be able to use code like this without change. In theory if you want to segment cats from no cats and have a database with cats mask, this still could be useful

@Maya1994
Copy link
Author

Maya1994 commented May 2, 2017

thanks for ur answer ;)

@ecobost ecobost closed this as completed May 11, 2017
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants