search

HiLab-git / SSL4MIS

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
MIT License
2.14k stars 380 forks source link

Great project, I have a question about About the cross teaching between CNN and Transformer paper.... #41

Closed Byronnar closed 2 years ago

Byronnar commented 2 years ago 
Table 2: Mean 3D DSC and HD95 (mm) on the ACDC dataset. All results are based on
the same backbone (UNet) with a fixed seed. Mean and standard variance (in
parentheses) are presented in this table. Red numbers denote the p-value < 0.05
based on paired t-test when comparing with the others

How to get the Mean and standard variance (in parentheses) are presented in this table? And how to generate the Red numbers denote the p-value < 0.05 based on paired t-test when comparing with the others? Could your please share the code? Thank you. @Luoxd1996 Looking forward to your reply.

Luoxd1996 commented 2 years ago

Hi, Firstly, the mean and standard variance values have been calculated in the test stage. Secondly, the paired t-test result can be calculated by scipy.stats.ttest_ind API. Best, Xiangde.

Byronnar commented 2 years ago

Thanks for your reply. Could you please give a example? In the test stage I can not find the code to calculate the mean and standard variance values.. And what are the paired t-test inputs? Thank you.

Byronnar commented 2 years ago

@Luoxd1996