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SOTA
Medical Image Segmentation
Medical Image Segmentation On Em
Medical Image Segmentation On Em
Metrics
DSC
Results
Performance results of various models on this benchmark
Columns
Model Name
DSC
Paper Title
EMCAD
95.53
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
FANet
0.9547
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
UNet++
-
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
0 of 3 row(s) selected.
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Next
HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Medical Image Segmentation
Medical Image Segmentation On Em
Medical Image Segmentation On Em
Metrics
DSC
Results
Performance results of various models on this benchmark
Columns
Model Name
DSC
Paper Title
EMCAD
95.53
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
FANet
0.9547
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
UNet++
-
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
0 of 3 row(s) selected.
Previous
Next