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Papers Benchmarks Datasets Tasks

Cell-level type identification research benchmarks · SOTA2 Research

Cell-level type identification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

48.04Test Balanced Accuracy

5

Mar 4, 2026

28.06Test Balanced Accuracy

5

Mar 4, 2026

PanNuke PanCancer 40x

68.73Test Balanced Accuracy

5

Mar 4, 2026

PanNuke Breast 40x

57.49Test Balanced Accuracy

5

Mar 4, 2026

PanNuke PanCancer 20x

67.63Test Balanced Accuracy

5

Mar 4, 2026

PanNuke 20x Breast

57.38Test Balanced Accuracy

5

Mar 4, 2026

79.34AUROC

5

Mar 4, 2026

75.35AUROC

5

Mar 4, 2026

PanNuke PanCancer 40x

92.38AUROC

5

Mar 4, 2026

PanNuke 40x Breast

89.05AUROC

5

Mar 4, 2026

PanNuke PanCancer 20x

92.92AUROC

5

Mar 4, 2026

PanNuke 20x Breast

91.39AUROC

5

Mar 4, 2026

PanNuke 20x (PanCancer) (test)

67.63Macro F1

5

Mar 4, 2026

PanNuke 20x Breast (test)

58.05Macro F1

5

Mar 4, 2026

NuCLS super (test)

49.88AUPRC

5

Mar 4, 2026

NuCLS main (test)

29.18AUPRC

5

Mar 4, 2026

PanNuke 40x PanCancer (test)

72.76AUPRC

5

Mar 4, 2026

PanNuke 40x Breast (test)

62.44AUPRC

5

Mar 4, 2026

PanNuke PanCancer 20x (test)

73.59AUPRC

5

Mar 4, 2026

PanNuke Breast 20x (test)

64.11AUPRC

5

Mar 4, 2026

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