yulequan UA-MT issues - Githubissues

yulequan / UA-MT

code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.

https://arxiv.org/abs/1907.07034

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about noisy labels

#20 panjiawei360 opened 3 months ago
0
Pre training model

#19 Gardnery opened 8 months ago
0
Lack of Uncertainty normalization

#18 LIKP0 closed 9 months ago
9
Predictive Entropy and Uncertainty

#17 Liqq1 opened 1 year ago
0
Visualization tool in your paper

#16 ghost closed 2 years ago
0
Guidance about pipeline

#15 Abbas009 opened 3 years ago
2
Some question about data preprocessing.

#14 chenslcool opened 3 years ago
2
what is the difference between the two training code(certainty/certainty_unlabel)

#13 yykhuster closed 3 years ago
1
the results does not match with your paper

#12 chouqin3 closed 3 years ago
1
the proposed method used in CT images

#11 GuobinZhangTJU closed 3 years ago
1
Why is the batch size of labeled data equal to the one of unlabeled data?

#10 szhang963 closed 3 years ago
1
Could you tell me something about the datasets,thanks!

#9 TakashimaZakuro closed 3 years ago
6
Why is the student model stored instead of a teacher model?

#8 chuxiang93 closed 4 years ago
2
A small code detail problem

#7 chuxiang93 closed 4 years ago
5
Question about the preprocess of the LA dataset.

#6 xqcn closed 4 years ago
2
Implementation of Monte Carlo Dropout

#5 luciaL closed 4 years ago
5
Could you please share the Atrial Segmentation Challenge dataset with me?

#4 xzhws closed 4 years ago
1
Does uncertainty help?

#3 JunMa11 closed 4 years ago
6
Question on dynamic results

#2 JunMa11 closed 4 years ago
4
Hope you can upload the code soon

#1 jizongFox closed 4 years ago
2