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Medical Image Segmentation research benchmarks – Page 28 · SOTA2 Research

Medical Image Segmentation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

96.8mDice

5

Apr 1, 2026

90.9Average Coverage

5

Mar 31, 2026

94.8Average Coverage

5

Mar 31, 2026

94.6Average Coverage

5

Mar 31, 2026

92.6Average Coverage

5

Mar 31, 2026

93.6Average Coverage

5

Mar 31, 2026

91.7Average Coverage

5

Mar 31, 2026

3D-IRCAdB Liver

99.6Average Coverage

5

Mar 31, 2026

Prostate 19 samples (1% labeled)

82.44Dice

5

Mar 20, 2026

TN3K 23 labeled samples (1%)

65.07Dice Score

5

Mar 20, 2026

LN-EXT (1% labeled)

60.49Dice Score

5

Mar 20, 2026

LN-INT 1% 10 labeled samples

66.62Dice Score

5

Mar 20, 2026

78.05Dice Coefficient

5

Feb 26, 2026

95.04Dice Coefficient

5

Feb 26, 2026

87.4IoU

5

Feb 26, 2026

Emergency Department data (test)

68.5Abscess

5

Feb 26, 2026

Pediatrics to Adult (test)

0.598Necrotic Dice

5

Feb 26, 2026

Adult to Pediatrics cross-domain (test)

59.6Dice (Necrotic)

5

Feb 26, 2026

69Dice Score

5

Feb 26, 2026

Fundus 20 labels

88.6DSC

5

Feb 26, 2026

Prostate 20 labels

87.16DSC

5

Feb 26, 2026

MSCMRSeg Adaptation from MRI to CT

78.26DSC (MYO)

5

Feb 26, 2026

90.1mDice

5

Feb 26, 2026

Real-world colon tumor segmentation dataset (unseen)

36.23DSC

5

Feb 26, 2026

Dice Semimetric Losses

0.781BDice

5

Feb 26, 2026

Page 28 of 34

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