IRv2-CXL

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

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

Medical1 result

CanceronBreakHis
1:1 Accuracy· 2022-09-03
96.46
best: 98.11 (Breast-NET)
SOTA
Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods arXiv:2209.01380

Knowledge Base1 result

Breast Cancer Histology Image ClassificationonBreakHis
1:1 Accuracy· 2022-09-03
96.46
best: 98.11 (Breast-NET)
SOTA
Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods arXiv:2209.01380