Multi Label Classification On Chexpert
평가 지표
AVERAGE AUC ON 14 LABEL
NUM RADS BELOW CURVE
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | AVERAGE AUC ON 14 LABEL | NUM RADS BELOW CURVE | Paper Title | Repository |
|---|---|---|---|---|
| Orlando (single model) | 0.903 | 1.600 | - | - |
| Yoake (single model) | 0.879 | 0.600 | - | - |
| KCV-CNN-ensemble-CN | 0.911 | 2.200 | - | - |
| {chexpert-classifier}(single model) | 0.882 | 0.600 | - | - |
| Chest-x-ray classification using | 0.618 | 0.200 | - | - |
| DiseaseNet Samg2003 single model, DPS RKP, http://sambhavgupta.co | 0.899 | 1.600 | - | - |
| as-hust-v1 | 0.923 | 2.400 | - | - |
| AccidentNet v1 (single model) | 0.897 | 1.200 | - | - |
| brian-baseline-v2 | 0.919 | 2.200 | - | - |
| Ensemble_v2 | 0.917 | 2.400 | - | - |
| HinaNetV2 (ensemble) | 0.909 | 2.200 | - | - |
| AccidentNet V2 (single model) | 0.881 | 1.000 | - | - |
| WL_Baseline (ensemble) | 0.912 | 2.000 | - | - |
| Coolver XH | 0.884 | 0.800 | - | - |
| KD-Prune10 (Single model) | 0.909 | 2.000 | - | - |
| SenseXDR | 0.927 | 2.600 | - | - |
| Model_Team_34 (single model) | 0.850 | 0.600 | - | - |
| Maxium (ensemble) | 0.923 | 2.400 | - | - |
| KD_Mobilenet (single model) | 0.862 | 0.800 | - | - |
| as-hust-v3 | 0.924 | 2.400 | - | - |
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