cvlab-stonybrook SelfMedMAE issues - Githubissues

cvlab-stonybrook / SelfMedMAE

Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"

Apache License 2.0

112 stars 12 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

Pre-trained weights

#14 MehriB opened 5 months ago
2
A issue when I want to test on my own dataset

#13 wangbaoyuanGUET opened 5 months ago
0
11

#12 lingling-7-7 opened 6 months ago
0
A issus of MAEViTEncoder's code

#11 wangbaoyuanGUET opened 7 months ago
1
Very Dark Input?

#10 slefcourt27 opened 8 months ago
2
NaN Loss

#9 slefcourt27 opened 8 months ago
1
A issue while training on my own liver tumor dataset.

#8 wangbaoyuanGUET opened 8 months ago
1
About maevitbackbone and unetr decoder

#7 kimsekeun closed 8 months ago
5
Did you calculate the MSE or FourierMSE Loss on all tokens or only on masked tokens?

#6 VdaylightV opened 1 year ago
1
exact settings of BTCV dataset in pretraining

#5 jackhu-bme opened 1 year ago
0
library versions

#4 yuankaiWang closed 10 months ago
3
There doesn't has BTCV\transunet.json

#3 jinlinma closed 10 months ago
2
Version

#2 nazib closed 10 months ago
2
cxr_train_Code

#1 gcdYIKASFVGUSI opened 1 year ago
0