Multi-Label Classification 벤치마크
Multi-Label Classification on CheXpert
AVERAGE AUC ON 14 LABEL
- 2019-01-21 — Stanford Baseline (ensemble): AVERAGE AUC ON 14 LABEL 0.907
- 2019-11-15 — Hierarchical-Learning-V1 (ensemble): AVERAGE AUC ON 14 LABEL 0.93
- 2023-11-27 — CFT (ensemble) Macao Polytechnic University: AVERAGE AUC ON 14 LABEL 0.933
| Rank | Model | AVERAGE AUC ON 14 LABEL | NUM RADS BELOW CURVE | Paper | Code | Year |
|---|---|---|---|---|---|---|
| 1 | CFT (ensemble) Macao Polytechnic University | 0.933 | – | Category-Wise Fine-Tuning for Image Multi-label Classification with Partial Labels | maxium0526/category-wise-fine-tuning · maxium0526/cft-chexpert | 2023 |
| 2 | DeepAUC-v1 | 0.930 | 2.800 | Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification | Optimization-AI/LibAUC · optimization-ai/iccv2021_deepauc · yzhuoning/DeepAUC_OGB_Challenge · +1 | 2020 |
| 2 | Hierarchical-Learning-V1 (ensemble) | 0.930 | 2.600 | Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels | thanhtran98/chexpert_pytorch_base · covidscantest/covidscan-datascience | 2019 |
| 4 | YWW(ensemble) | 0.929 | 2.800 | |||
| 4 | Conditional-Training-LSR | 0.929 | 2.600 | |||
| 4 | Hierarchical-Learning-V4 (ensemble) | 0.929 | 2.600 | Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels | thanhtran98/chexpert_pytorch_base · covidscantest/covidscan-datascience | 2019 |
| 4 | Conditional-Training-LSR-V1 | 0.929 | 2.600 | |||
| 4 | Hierarchical-Learning-V0 (ensemble) | 0.929 | 2.600 | |||
| 9 | Multi-Stage-Learning-CNN-V3 (ensemble) | 0.928 | 2.600 | |||
| 9 | DeepCNNsGM(ensemble) | 0.928 | 2.600 | |||
| 11 | inisis | 0.927 | 3.000 | |||
| 11 | DeepCNNs(ensemble) | 0.927 | 2.600 | |||
| 11 | SenseXDR | 0.927 | 2.600 | |||
| 11 | ihil (ensemble) | 0.927 | 2.600 | |||
| 15 | JF aboy ensemble_V2 JF HEALTHCARE https://github.com/deadpoppy/CheXpert-Challeng | 0.926 | 3.000 | |||
| 15 | DRNet (ensemble) | 0.926 | 2.600 | |||
| 15 | yw | 0.926 | 2.600 | |||
| 15 | Anatomy-XNet-V1 | 0.926 | 2.600 | Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-rays | 2021 | |
| 19 | hoanganh_VB_ensemble3 | 0.925 | 2.400 | |||
| 19 | alimebkovk | 0.925 | 2.400 |