issues
search
MrGiovanni
/
UNetPlusPlus
[IEEE TMI] Official Implementation for UNet++
Other
2.3k
stars
541
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
Help
#95
Summit3Zz
opened
8 months ago
0
How do I train U-Net++ on my custom 3D data?
#94
Vishu9519
opened
9 months ago
0
Update setup.py
#93
uurcelikk
closed
11 months ago
0
Bump tensorflow-gpu from 1.4.1 to 2.12.0 in /keras
#91
dependabot[bot]
opened
1 year ago
0
Pre-trained model
#90
Justworkname
closed
1 year ago
0
AttributeError: 'Generic_UNetPlusPlus' object has no attribute 'upsample_mode'
#89
SalamanderXing
opened
1 year ago
0
Bump tensorflow-gpu from 1.4.1 to 2.9.3 in /keras
#88
dependabot[bot]
closed
1 year ago
1
PermissionError: [Errno 13] Permission denied: '/media/yang/nnUNet_raw_data_base'
#87
kangyiyang
opened
2 years ago
0
How to Train on nnunet 2d mode?
#86
web-girlfriend
opened
2 years ago
0
legacy_upsampling2d_support
#85
jovahe
opened
2 years ago
0
Bump tensorflow-gpu from 1.4.1 to 2.7.2 in /keras
#84
dependabot[bot]
closed
1 year ago
1
Bump tensorflow-gpu from 1.4.1 to 2.6.4 in /keras
#83
dependabot[bot]
closed
2 years ago
1
Generic_UNetPlusPlus测试报错
#82
axjing
opened
2 years ago
0
Update README.md
#81
innat
opened
2 years ago
0
'unet_final_features' referenced before assignment
#80
mukul-B
opened
2 years ago
1
issue in resize_segmentation
#79
mukul-B
opened
2 years ago
3
Bump tensorflow-gpu from 1.4.1 to 2.5.3 in /keras
#78
dependabot[bot]
closed
2 years ago
1
Anyone here who have update this code for tensorflow version 2.x
#77
imran7778
opened
2 years ago
1
Bump tensorflow-gpu from 1.4.1 to 2.5.2 in /keras
#76
dependabot[bot]
closed
2 years ago
2
Question : why use " l = weights[0] * self.loss(x[-1], y[0])" in loss_functions/deep_supervision.py ?
#75
cuihu1998
opened
3 years ago
0
您好!请问pytorch官方实现版提供的LITS预训练模型,是关闭deep_supervision跑的么
#74
cuihu1998
opened
3 years ago
7
RuntimeError: Given transposed=1, weight of size [256, 128, 2, 2], expected input[12, 64, 256, 256] to have 256 channels, but got 64 channels instead
#73
zhouwang0924
opened
3 years ago
2
周学长您好,我在配置环境中发现个小坑想提醒大家
#72
zhangxinkang
opened
3 years ago
0
importlib_metadata.PackageNotFoundError: No package metadata was found for nnunet
#71
zhouwang0924
closed
3 years ago
1
Can this model be trained on multi GPUs ?
#70
ChibisukeDragon
closed
2 years ago
0
Bump tensorflow-gpu from 1.4.1 to 2.5.1 in /keras
#69
dependabot[bot]
closed
3 years ago
1
how to train on my designated GPU?
#68
ChibisukeDragon
closed
3 years ago
1
Getting very bad validation metrics
#67
kirillmeisser
opened
3 years ago
2
The detail of paper
#66
mitseng
closed
3 years ago
2
Task058 have RuntimeError: Given transposed=1, weight of size [128, 64, 1, 2, 2], expected input[2, 64, 16, 160, 160] to have 128 channels, but got 64 channels instead
#65
WangHuikong
opened
3 years ago
8
Confused about dice lose
#64
wangerxiao001
closed
3 years ago
0
3x3 sigmoid/softmax output.
#63
JakobKHAndersen
opened
3 years ago
2
Steps to train and test
#62
Manojkumarmuru
opened
3 years ago
1
Model shape error
#61
Furqanf9T
opened
3 years ago
1
Provide Pre-trained models
#60
harsharaman
closed
3 years ago
1
Bump tensorflow-gpu from 1.4.1 to 2.3.1 in /keras
#59
dependabot[bot]
closed
3 years ago
1
Bump tensorflow-gpu from 1.4.1 to 1.15.4 in /keras
#58
dependabot[bot]
closed
4 years ago
1
[ISSUE SOLUTION] Tensorflow 1.4.1 not compatible with python=3.7
#57
LAUBENicolas
closed
4 years ago
0
From BRATS 2013 dataset to BRATS2013_Syn_Flair_Train_X.npy and “BRATS2013_Syn_Flair_Train_S.npy
#56
chenwang1701
opened
4 years ago
0
No such file or directory: 'Data/BRATS/BRATS2013_Syn_Flair_Train_X.npy'
#55
chen-chunling
opened
4 years ago
0
Bump tensorflow-gpu from 1.4.1 to 1.15.4
#54
dependabot[bot]
closed
3 years ago
1
Overlap Strategy vs Padded Convolution
#53
gchhablani
opened
4 years ago
0
Implementing in colab
#52
Swathi-Guptha
opened
4 years ago
3
import issue in collab
#51
Swathi-Guptha
closed
4 years ago
0
data preparation for training
#50
fselka
opened
4 years ago
0
bce_dice_loss negative loss
#49
jcarta
opened
4 years ago
3
3 channel output
#48
JT1316
closed
4 years ago
0
Does this code have implementations for weighted loss?
#47
Mahi-Mai
opened
4 years ago
0
have any mAP different between upsampling vs conv2dtranspose ?
#46
mmxuan18
opened
4 years ago
0
compute iou function confusion
#45
MehreenMubashar
closed
4 years ago
1
Next