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Tumor Segmentation research benchmarks – Page 2 · SOTA2 Research

Tumor Segmentation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

PI-CAI 2022 (test)

2D H-DenseFormer

0.499DSC

5

Feb 26, 2026

HECKTOR independent 2021 (test)

3D H-DenseFormer

73.9DSC

5

Feb 26, 2026

MPFlow (vanilla)

2.42Measurement L

4

Mar 5, 2026

LiTS 2017 (test)

Hybrid deep learning–radiomics framework

86Sensitivity

4

Feb 26, 2026

84.2DSC

3

Feb 26, 2026

Pancreas (test)

0.648DSC (%)

3

Feb 26, 2026

70.9DSC

3

Feb 26, 2026

AutoPET (five-fold cross-val)

44.35Dice Score

2

Jun 1, 2026

Hospital dataset (test)

—

—Primary metric

0

Feb 26, 2026

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