Overview

Schema Version

https://atlas.rsna.org/schemas/2025-11/model.json

Name

CheXNet

Link

https://arxiv.org/abs/1711.05225

Indexing

Keywords: CheXNet, pneumonia detection, chest x-ray, ChestX-ray8

Content: CH

RadLex: RID10345, RID5350

Author(s)

Rajpurkar P

Irvin J

Zhu K

Date

Published: 2017-11-14

References

[1] Rajpurkar P, Irvin J, Zhu K, et al.. "CheXNet: radiologist-level pneumonia detection on chest x-rays with deep learning". arXiv preprint arXiv:1711.05225. 2017-11-14. Available from: https://arxiv.org/abs/1711.05225

Model

Architecture

Described as a deep learning algorithm for pneumonia detection on chest radiographs (specific architecture not detailed in the citing article).

Availability

Model described in Rajpurkar et al. (2017) arXiv preprint.

Clinical benefit

Assists in detecting pneumonia on chest radiographs.

Indications for use

Detection of pneumonia on chest radiographs; intended users and environments not specified in the citing article.

Input

Chest radiographs (from the ChestX-ray8 dataset; test set labeled by radiologists).

Limitations

Details on limitations and performance characteristics are not provided in the citing article; readers are referred to the original CheXNet paper and the model card referenced by the authors.

Output

CDEs: RDE339

Description: Classification output indicating presence of pneumonia on chest radiographs.

Use

Intended: Detection