Codesota · Medical · Disease Classification · RSNA Pneumonia DetectionTasks/Medical/Disease Classification
Disease Classification · benchmark dataset · 2018 · EN

RSNA Pneumonia Detection Challenge.

30,000 frontal chest radiographs with bounding boxes for pneumonia detection. From 2018 RSNA Kaggle competition. Tests both classification and localization.

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§ 01 · Leaderboard

Best published scores.

3 results indexed across 1 metric. Shaded row marks current SOTA; ties broken by submission date.


Primary
map · higher is better
auroc
3 rows
#ModelOrgSubmittedPaper / codeauroc
01DenseNet-121 (Chest X-ray)OSSResearchDec 2025kaggle-competition88.50
02RAD-DINOOSSMicrosoftJan 2024Exploring Scalable Medical Image Encoders Beyond Text Su…88.40
03CheXNetOSSStanford ML GroupDec 2025research-paper87.20
Fig 2 · Rows sorted by score within each metric. Shaded row marks SOTA. Dates reflect model or paper release where available, otherwise the date Codesota accessed the source.
§ 04 · Literature

1 paper
tied to this benchmark.

Every paper below corresponds to at least one row in the leaderboard above. Click through for the arXiv preprint and, when available, the reference implementation.

§ 06 · Contribute

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

Submit a result Read submission guide
What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies
RSNA Pneumonia Detection — Disease Classification benchmark · Codesota | CodeSOTA