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

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issues

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Pre-trained weights

#14 MehriB opened 4 months ago
2
A issue when I want to test on my own dataset

#13 wangbaoyuanGUET opened 4 months ago
0
11

#12 lingling-7-7 opened 5 months ago
0
A issus of MAEViTEncoder's code

#11 wangbaoyuanGUET opened 6 months ago
1
Very Dark Input?

#10 slefcourt27 opened 6 months ago
2
NaN Loss

#9 slefcourt27 opened 6 months ago
1
A issue while training on my own liver tumor dataset.

#8 wangbaoyuanGUET opened 7 months ago
1
About maevitbackbone and unetr decoder

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

#6 VdaylightV opened 11 months ago
1
exact settings of BTCV dataset in pretraining

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

#4 yuankaiWang closed 9 months ago
3
There doesn't has BTCV\transunet.json

#3 jinlinma closed 9 months ago
2
Version

#2 nazib closed 9 months ago
2
cxr_train_Code

#1 gcdYIKASFVGUSI opened 1 year ago
0