paper-with-me

Multi-Label Classification 벤치마크

Multi-Label Classification on CheXpert

226개 결과 · ⬇ CSV · JSON

AVERAGE AUC ON 14 LABEL

0.805 0.837 0.869 0.901 0.933 2019-01 2026-11 Stanford Baseline (ensemble) — 0.907 (2019-01-21) Hierarchical-Learning-V1 (ensemble) — 0.93 (2019-11-15) Hierarchical-Learning-V4 (ensemble) — 0.929 (2019-11-15) DensNet121 — 0.805 (2020-02-14) DeepAUC-v1 — 0.93 (2020-12-06) Anatomy-XNet-V1 — 0.926 (2021-06-10) Anatomy-XNet (ensemble) — 0.917 (2021-06-10) LBC-v2 (ensemble) — 0.906 (2022-10-12) LBC-v0 (ensemble) — 0.899 (2022-10-12) Stellarium-CheXpert-Local — 0.896 (2022-10-12) CFT (ensemble) Macao Polytechnic University — 0.933 (2023-11-27) A Good Model (single model) Macao Polytechnic University — 0.918 (2023-11-27) Masks and Manuscripts — 0.909 (2024-07-23) Stanford Baseline (ensemble) — 0.907 (2019-01-21) Hierarchical-Learning-V1 (ensemble) — 0.93 (2019-11-15) CFT (ensemble) Macao Polytechnic University — 0.933 (2023-11-27)
RankModel AVERAGE AUC ON 14 LABELNUM RADS BELOW CURVE PaperCodeYear
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 0.9302.800 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) 0.9302.600 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) 0.9292.800
4 Conditional-Training-LSR 0.9292.600
4 Hierarchical-Learning-V4 (ensemble) 0.9292.600 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 0.9292.600
4 Hierarchical-Learning-V0 (ensemble) 0.9292.600
9 Multi-Stage-Learning-CNN-V3 (ensemble) 0.9282.600
9 DeepCNNsGM(ensemble) 0.9282.600
11 inisis 0.9273.000
11 DeepCNNs(ensemble) 0.9272.600
11 SenseXDR 0.9272.600
11 ihil (ensemble) 0.9272.600
15 JF aboy ensemble_V2 JF HEALTHCARE https://github.com/deadpoppy/CheXpert-Challeng 0.9263.000
15 DRNet (ensemble) 0.9262.600
15 yw 0.9262.600
15 Anatomy-XNet-V1 0.9262.600 Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-rays 2021
19 hoanganh_VB_ensemble3 0.9252.400
19 alimebkovk 0.9252.400
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