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Papers Benchmarks Datasets Tasks

Breast Cancer Classification research benchmarks · SOTA2 Research

Breast Cancer Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ICIAR 4-Cls 2018

80.24Sensitivity

11

Feb 26, 2026

Mini-DDSM (3-Cls)

78.42Sensitivity

11

Feb 26, 2026

84.88Sensitivity

11

Feb 26, 2026

95.32Sensitivity

11

Feb 26, 2026

95.32Sensitivity

11

Feb 26, 2026

91.24Sensitivity

11

Feb 26, 2026

Breast cancer tissue dataset

91.6CK5 AUROC

7

Feb 26, 2026

VinDr-Mammo 5-Class (test)

Token-Based Dual-view Fusion

50.4F1 Score (%)

5

Jul 8, 2026

Stage2: Cross-View Fusion Only

65.2F1 Score

5

Jul 8, 2026

PRECISE breast ultrasound 2025 (test)

Prompt-Free SAM-Based Multi-Task Framework

90.7Accuracy

4

Feb 26, 2026

Breast Tumor Subtypes Dataset

95.4Accuracy

1

Feb 26, 2026

Thermal Imaging Dataset

88.89Accuracy

1

Feb 26, 2026

2D/3D Mammography Dataset

CNN-based fusion model

97Accuracy

1

Feb 26, 2026

Popular datasets

BreakHis Breast cancer tissue DDSM ICIAR CMMD

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