Datasets › CheXpert
CheXpert
The CheXpert dataset contains 224,316 chest radiographs of 65,240 patients with both frontal and lateral views available. The task is to do automated chest x-ray interpretation, featuring uncertainty labels and radiologist-labeled reference standard evaluation sets.
Source: Deep Mining External Imperfect Data for Chest X-ray Disease Screening Image Source: https://stanfordmlgroup.github.io/competitions/chexpert/
Benchmarks archive 2025-07-28
All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Multi-Label Classification | CheXpert | CFT (ensemble) Macao Polytechnic University AVERAGE AUC ON 14 LABEL 0.933 | Category-Wise Fine-Tuning for Image Multi-label... | maxium0526/category-wise-fine-tuning +1 | 226 | Compare |
| Concept-based Classification | CheXpert | CGEM (ResNet-34) Task Accuracy (%) 89.25 | Concept Graph Embedding Models for Enhanced Accuracy and... | jumpsnack/cgem | 1 | Compare |
| Medical Image Deblurring | ChexPert | MedDeblur Average PSNR 28.09 | MedDeblur: Medical Image Deblurring with Residual Dense... | sharif-apu/MedDeblur | 1 | Compare |
Papers archive 2025-07-28
10 shown of 10 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 628. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- CheXpert
1 variant name, as the archive lists them.
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