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cwmok
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C2FViT
This is the official Pytorch implementation of "Affine Medical Image Registration with Coarse-to-Fine Vision Transformer" (CVPR 2022), written by Tony C. W. Mok and Albert C. S. Chung.
MIT License
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code for your cvpr2024paper
#21
kkkkkk123-ops
opened
2 months ago
2
affine_para
#20
havecats
opened
5 months ago
1
Evaluation data calculation
#19
AArutoria
opened
5 months ago
1
About the training process of the model
#18
RexEmperor
opened
7 months ago
45
about loss and batchsize
#17
havecats
closed
5 months ago
1
About the AffineCOMTransform
#16
xiaorugao999
closed
5 months ago
7
Example data in the paper requires
#15
CrimsonLeev
closed
7 months ago
2
Downsample image before feeding into network
#14
GrigoriPlatonov
closed
7 months ago
1
Can we use the affine augmentation params as train supervision
#13
Zhenghao97
closed
8 months ago
1
training data queries
#12
EvelyneCalista
closed
7 months ago
5
After training for time, the loss becomes 0
#11
Lebesgue-zyker
closed
1 year ago
9
Integrate affine transformation
#10
cong-code
closed
1 year ago
6
Dice mean of the validation set is decreased, and dose the Brain Dice mean when the training step increases
#9
pypi20200320
closed
1 year ago
1
2Dmedical images
#8
JAYCHOU2020
closed
1 year ago
1
problems about affine registration and deformable registration
#7
celi7
closed
1 year ago
10
How does the batchsize and lr influence the performance
#6
xyimaging
closed
1 year ago
2
Training Validation Split
#5
rtx98
closed
1 year ago
3
2d registration
#4
d5423197
closed
2 years ago
5
Model training problem
#3
Yongxin1120
closed
2 years ago
1
Train_C2FViT_pairwise
#2
gaucijean
closed
2 years ago
2
Test_C2FViT_pairwise.py
#1
pksolar
closed
2 years ago
2