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mohamed-ezz / saratan

Code for MICCAI 2016 paper : Automatic liver and lesions segmentation using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
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How many dataset did you use for training the model, test the model? #13

Closed VincentXWD closed 6 years ago

VincentXWD commented 6 years ago

How many dataset did you use for training the model, test the model?

mohamed-ezz commented 6 years ago

You can find the details in this paper https://arxiv.org/abs/1610.02177

VincentXWD commented 6 years ago

I read the paper but I can't find how many volumes the model use.

mohamed-ezz commented 6 years ago

The dataset 3DIRCADB has 20 volumes ( https://www.ircad.fr/research/3d-ircadb-01/), we used 15 of them with 2 fold cross validation having 10 volumes in training and 5 in validation

On Fri, Apr 13, 2018 at 4:07 AM, Kirai notifications@github.com wrote:

I read the paper but I can't find how many volumes the model use.

— You are receiving this because you modified the open/close state. Reply to this email directly, view it on GitHub https://github.com/mohamed-ezz/saratan/issues/13#issuecomment-380998854, or mute the thread https://github.com/notifications/unsubscribe-auth/ADqENewLeFZHtVNIWTiKbbtYSpkM89a2ks5toAh5gaJpZM4TReqp .

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VincentXWD commented 6 years ago

i know it. thank you!