marc-gorriz / ceal-medical-image-segmentation Goto Github PK
View Code? Open in Web Editor NEWActive Deep Learning for Medical Imaging Segmentation
Home Page: https://marc-gorriz.github.io/CEAL-Medical-Image-Segmentation/
Active Deep Learning for Medical Imaging Segmentation
Home Page: https://marc-gorriz.github.io/CEAL-Medical-Image-Segmentation/
Plot file to draw the Figure 1, 2 and 3 in the paper is missing.
I have tried to follow your code. So far I can’t done with it .
I found that utils file was missing. Could you please share the utils file?
looking forward to hearing from you soon.
Great paper, slides and repository, but it is probably safer to use keras functions (https://github.com/4Quant/pyqae/blob/master/pyqae/dnn/utils.py#L5) to predict with dropout, the substitution call might be a bit fragile with other backends and updates (
)Hi,
Where is the weight file of unet for initialization?I did not find it in the code, can you upload it?
Thanks!
Hi, Nice work. I have been working in deep learning based segmentation for bio-medical images for the last few years. I was wondering how you would obtain the actual segmentation output of the test data from the trained model. Please let me know.
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