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Models/EfficientNet-b2

EfficientNet-b2

Reported on 4 benchmarks across 2 tasks · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical4 results

CanceronBreakHis
1:1 Accuracy· 2022-03-15
92.23
best: 98.11 (Breast-NET)
SOTA
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images arXiv:2203.07707
CanceronBreakHis
Accuracy (Inter-Patient)· 2022-03-15
92.15
SOTA
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images arXiv:2203.07707
CanceronBreakHis
1:1 Accuracy· 2022-03-15
88.77
best: 98.11 (Breast-NET)
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images arXiv:2203.07707
CanceronBreakHis
Accuracy (Inter-Patient)· 2022-03-15
88.77
best: 92.15
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images arXiv:2203.07707

Knowledge Base4 results

Breast Cancer Histology Image ClassificationonBreakHis
1:1 Accuracy· 2022-03-15
92.23
best: 98.11 (Breast-NET)
SOTA
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images arXiv:2203.07707
Breast Cancer Histology Image ClassificationonBreakHis
Accuracy (Inter-Patient)· 2022-03-15
92.15
SOTA
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images arXiv:2203.07707
Breast Cancer Histology Image ClassificationonBreakHis
1:1 Accuracy· 2022-03-15
88.77
best: 98.11 (Breast-NET)
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images arXiv:2203.07707
Breast Cancer Histology Image ClassificationonBreakHis
Accuracy (Inter-Patient)· 2022-03-15
88.77
best: 92.15
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images arXiv:2203.07707