shenhai1895

i can't understand that why you delete up0_sum = add([line0, up0]) in denseunet when it predicting.

i find this function load_weights_from_hdf5_group_by_name_mulgpu_twomodelcombine. so, when you train the denseunet2d, you use the unet connection, while you delete the unet connection when training the hdenseunet. do i got it?...

thank you very much. in other words, the model only predict the segmentation in the area of the liver provided by livermask. is it right?

Yes. 发送自 Windows 10 版邮件应用 ________________________________ 发件人: mnc1423 发送时间: Wednesday, July 10, 2019 4:19:21 PM 收件人: xmengli999/H-DenseUNet 抄送: shenhai1895; Author 主题: Re: [xmengli999/H-DenseUNet] Could you please update the code you...

In fact, the liver mask is not nessasary. You should debug the code step by step and remove or modify the code about liver mask. 发送自 Windows 10 版邮件应用 ________________________________...

In the file func.py, I do like this: [cid:[email protected]] 发送自 Windows 10 版邮件应用 ________________________________ 发件人: mnc1423 发送时间: Saturday, July 27, 2019 2:09:40 PM 收件人: xmengli999/H-DenseUNet 抄送: shenhai1895 ; Author 主题:...

x = imgs_test.shape[0] y = imgs_test.shape[1] z = imgs_test.shape[2] # right_cols = int(min(z, maxi[2] + 10) - img_cols) # left_cols = max(0, min(mini[2] - 5, right_cols)) right_cols = int(z -...

2080Ti*2. You can run the model on two gpus, and the OOM will be solved. 发送自 Windows 10 版邮件应用 ________________________________ 发件人: mnc1423 发送时间: Sunday, July 28, 2019 5:36:39 PM 收件人:...

You could use the liver_res predicted by the model as the mask. Like this mask = liver_res 发送自 Windows 10 版邮件应用 ________________________________ 发件人: guolihong 发送时间: Tuesday, July 30, 2019 7:50:43...