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MrGiovanni
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SuPreM
[ICLR 2024] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
https://www.cs.jhu.edu/~alanlab/Pubs23/li2023suprem.pdf
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Finetuning on dataset other than totalsegmentator
#14
rajanish4
closed
1 month ago
3
Glioma classification based on 3D PET Images
#13
Hogandr
closed
1 month ago
1
25 Annotations Availability
#12
lotfi-hku
opened
3 months ago
0
question of inference for abdomenatlas data
#11
cclamd
opened
3 months ago
3
Many different DSC of FLARE23 and TotalSegmentor
#10
Itsanewday
closed
3 months ago
2
9,262 CT volumes Pre-trained model release
#9
icekang
opened
4 months ago
1
Inconsistency in `SegResNet` parameter count
#8
surajpaib
closed
4 months ago
4
model swinunetr modifed
#7
chenyujiehome
closed
5 months ago
0
How to apply it to other datasets?
#6
chenyujiehome
opened
5 months ago
1
weights file of SegResNet only includes: key(s) in state_dict: "net", "optimizer", "scheduler", "epoch".
#5
meeselizabeth
closed
6 months ago
2
Data availability
#4
TaWald
closed
7 months ago
4
Loading suite of Pre-trained Models in SuPreM
#3
HashmatShadab
closed
7 months ago
4
Welcome to share the paper and code related to 3D medical pre-training
#2
MrGiovanni
opened
9 months ago
3
Welcome to suggest more medical segmentation backbones
#1
MrGiovanni
opened
9 months ago
2