lazypoet

@FabianIsensee Can you point me to your Dice loss implementation as I wanted to see it too. Btw, I saw it once somewhere and figured that you were using the...

Yes that is used. Btw, the code has too many errors to work, so just don't blindly copy it. You may actually see my repo if you want some pointers....

@build2create In any of the methods in `Metrics.py` , you have to pass a **single slice each of the test image and respective ground truth** as parameters, so as to...

So, the images are 3d with an axial view. Hence the 155 slices. Eg., slice 74 would represent the same slice but different modalities in all of the 3d brain...

Yup, true. On Tue, Mar 28, 2017 at 4:49 PM, build2create wrote: > Yes, correct . What I am asking where do I look for corresponding ground > truth? Each...

Assuming you are trying to predict images in your "testing folder", yes you need to use those images. On Tue, Mar 28, 2017 at 5:07 PM, build2create wrote: > @lazypoet...

Learn more about training, validation and testing data. Freshen up your concepts of basic machine learning, it'll help you a lot.

@JRevati I got the same problem when I corrected and ran the code. Black images. I think @naldeborgh7575 did not upload the correct model. Because this is the same problem...

Okay, seems like there might be a problem with your normalization if your network is not learning