DengPingFan/Inf-Net
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.
PythonMIT
Issues
- 1
Intensity normalization question
#41 opened by dscarmo - 2
About the generation of picture edges
#39 opened by ZZ0214 - 1
Ablation experiment
#36 opened by zhangxinwq - 1
About the onehot.py
#33 opened by 1215232494 - 1
Ablation Study
#34 opened by zhangxinwq - 4
About the dataloader
#35 opened by 1215232494 - 4
请问Dice等计算函数应该在哪里加呢?
#32 opened by lmqMM - 1
Can you share the code of how to crop the image according to the boundary of the lung region
#31 opened by CTGUzhangguangyi - 5
Ask about the reverse attention module
#21 opened by tantanhui - 1
About the Muti-class U-Net
#30 opened by GuoQingqing - 0
- 6
- 1
PraNetPlusPlus
#27 opened by Mitra-coding - 1
About image edge
#26 opened by 2873238593 - 2
python evaluate toolbox
#25 opened by lonezhizi - 1
generating pseudo-label images
#24 opened by SoUHoo - 6
problems with configuring environment
#16 opened by Yufengevan - 1
A Question about Fig.3 in the paper
#23 opened by wbilife - 1
About preprocess
#22 opened by tingnim - 14
Error while executing MyTest_Lunginf.py
#15 opened by titu1992 - 1
The order of the paragraphs of "2.2.2. Usage " in README.md is wrong?
#19 opened by AManHasNoName12138 - 3
Semi-Inf-Net + Multi-class UNet 提问
#17 opened by zhanglei1025 - 2
Semi-Inf-Net
#18 opened by zhanglei1025 - 12
problem of LungInfection-Test datasets
#10 opened by Yufengevan - 2
Converting the original dicom images to png
#12 opened by IssamLaradji - 1
Python version of the evaluation toolbox
#11 opened by IssamLaradji - 3
download data
#9 opened by Yufengevan - 1
Pre trained data
#4 opened by GiulioBen