LBC-v0 (ensemble)

Reported on 2 benchmarks across 1 task · 1 paper

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

Methodology4 results

Multi-Label ClassificationonCheXpert
AVERAGE AUC ON 14 LABEL· 2022-10-12
0.899
best: 0.933 (CFT (ensemble) Macao Polytechnic University)
Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos Classification arXiv:2210.05954
Multi-Label ClassificationonCheXpert
NUM RADS BELOW CURVE· 2022-10-12
1.4
best: 3 (inisis)
Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos Classification arXiv:2210.05954
Multi-Label ClassificationonCheXpert
AVERAGE AUC ON 14 LABEL· 2022-10-12
0.899
best: 0.933 (CFT (ensemble) Macao Polytechnic University)
Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos Classification arXiv:2210.05954
Multi-Label ClassificationonCheXpert
NUM RADS BELOW CURVE· 2022-10-12
1.4
best: 3 (inisis)
Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos Classification arXiv:2210.05954