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Codesota · Tasks · Medical Image SegmentationHome/Tasks/Medical/Medical Image Segmentation

Medical Image Segmentation.

Segmenting organs and abnormalities in medical images.

4
Datasets
26
Results
mean-dsc
Canonical metric
§ 02 · Canonical benchmark

The reference dataset.

ACDC

150 cardiac MRI cases segmenting right ventricle, myocardium, and left ventricle. MICCAI 2017 challenge.

Primary metric: mean-dsc
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§ 03 · Top 10

Leading models.

Leading models on ACDC.

#Modelmean-dscYearSource
MedNeXt-L92.72026paper ↗
2nnU-Net v291.62026paper ↗
3LightM-UNet90.52026paper ↗
4U-Mamba (Bot)90.32026paper ↗
5nnFormer90.22026paper ↗
6TransUNet89.12026paper ↗

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§ 04 · All datasets

Tracked datasets.

4 datasets tracked for this task.

ACDC
CANONICAL
6 results · mean-dsc
Top: MedNeXt-L 92.7
Synapse Multi-Organ CT
11 results · mean-dsc
Top: SegMamba 86.5
BTCV
6 results · mean-dsc
Top: STU-Net-H 85.4
BraTS 2023
3 results · mean-dice-wt-tc-et
Top: MedNeXt-L 0.896
§ 05 · Related tasks

Other tasks in Medical.

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