Hierarchical-Learning-V1 (ensemble)

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

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

Methodology2 results

Multi-Label ClassificationonCheXpert
AVERAGE AUC ON 14 LABEL· 2019-11-15
0.93
best: 0.933 (CFT (ensemble) Macao Polytechnic University)
SOTA
Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels arXiv:1911.06475
Multi-Label ClassificationonCheXpert
NUM RADS BELOW CURVE· 2019-11-15
2.6
best: 3 (inisis)
SOTA
Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels arXiv:1911.06475