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Models/EMCAD

EMCAD

Reported on 16 benchmarks across 1 task · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical16 results

Medical Image SegmentationonEM
DSC· 2024-05-11
95.53
SOTA
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation arXiv:2405.06880
Medical Image SegmentationonISIC 2018
DSC· 2024-05-11
90.96
SOTA
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation arXiv:2405.06880
Medical Image Segmentationon2018 Data Science Bowl
Dice· 2024-05-11
0.9274
best: 92.79 (ReN-UNet)
SOTA
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation arXiv:2405.06880
Medical Image SegmentationonISIC2018
mean Dice· 2024-05-11
0.9096
best: 90.74 (MobileUNETR)
SOTA
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation arXiv:2405.06880
Medical Image SegmentationonKvasir-SEG
mean Dice· 2024-05-11
0.928
best: 0.9502 (DUCK-Net)
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation arXiv:2405.06880
Medical Image SegmentationonISIC 2018
DSC· 2024-05-11
90.96
best: 92.1 (ProMISe)
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation arXiv:2405.06880
Medical Image SegmentationonSynapse multi-organ CT
Avg DSC· 2024-05-11
83.63
best: 90.66 (Interactive AI-SAM gt box)
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation arXiv:2405.06880
Medical Image SegmentationonSynapse multi-organ CT
Avg HD· 2024-05-11
15.68
best: 31.69 (TransUNet)
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation arXiv:2405.06880
Medical Image SegmentationonETIS-LARIBPOLYPDB
mean Dice· 2024-05-11
0.9229
best: 0.9572 (RAPUNet)
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation arXiv:2405.06880
Medical Image SegmentationonCVC-ColonDB
mean Dice· 2024-05-11
0.9231
best: 0.9526 (RAPUNet)
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation arXiv:2405.06880
Medical Image SegmentationonBKAI-IGH NeoPolyp-Small
Average Dice· 2024-05-11
0.9296
best: 0.94 (RaBiT)
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation arXiv:2405.06880
Medical Image SegmentationonMICCAI 2015 Multi-Atlas Abdomen Labeling Challenge
Avg DSC· 2024-05-11
83.63
best: 84.9 (MERIT)
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation arXiv:2405.06880
Medical Image SegmentationonMICCAI 2015 Multi-Atlas Abdomen Labeling Challenge
Avg HD· 2024-05-11
15.68
best: 20.23 (PVT-CASCADE)
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation arXiv:2405.06880
Medical Image SegmentationonAutomatic Cardiac Diagnosis Challenge (ACDC)
Avg DSC· 2024-05-11
92.12
best: 94.26 (FCT)
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation arXiv:2405.06880
Medical Image SegmentationonACDC
Dice Score· 2024-05-11
0.9212
best: 0.9302 (FCT)
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation arXiv:2405.06880
Medical Image SegmentationonCVC-ClinicDB
mean Dice· 2024-05-11
0.9521
best: 0.9684 (DUCK-Net)
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation arXiv:2405.06880