ChestX-ray14 is a medical imaging dataset which comprises 112,120 frontal-view X-ray images of 30,805 (collected from the year of 1992 to 2015) unique patients with the text-mined fourteen common disease labels, mined from the text radiological reports via NLP techniques. It expands on ChestX-ray8 by adding six additional thorax diseases: Edema, Emphysema, Fibrosis, Pleural Thickening and Hernia.
Source: https://nihcc.app.box.com/v/ChestXray-NIHCC/file/220660789610
Image Source: https://nihcc.app.box.com/v/ChestXray-NIHCC
Variants: ChestX-ray14, ChestXray14 1024x1024
This dataset is used in 4 benchmarks:
Task | Model | Paper | Date |
---|---|---|---|
Multi-Label Classification | Improved CheXNet (DannyNet, dstrick17 et al., 2025) | Reproducing and Improving CheXNet: Deep … | 2025-05-10 |
Multi-Task Learning | BayesAgg-MTL | Bayesian Uncertainty for Gradient Aggregation … | 2024-02-06 |
Medical Image Generation | StyleGAN2 with DiffAugment | Feature Extraction for Generative Medical … | 2023-11-22 |
Multi-Label Classification | SynthEnsemble | SynthEnsemble: A Fusion of CNN, … | 2023-11-13 |
Multi-Label Classification | CoAtNet | SynthEnsemble: A Fusion of CNN, … | 2023-11-13 |
Pneumonia Detection | MUXNet-m | MUXConv: Information Multiplexing in Convolutional … | 2020-03-31 |
Multi-Label Classification | DensNet121 | CheXclusion: Fairness gaps in deep … | 2020-02-14 |
Pneumonia Detection | NSGANetV1-X | Multi-Objective Evolutionary Design of Deep … | 2019-12-03 |
Pneumonia Detection | NSGANetV1-A3 | Multi-Objective Evolutionary Design of Deep … | 2019-12-03 |
Pneumonia Detection | CheXNet | CheXNet: Radiologist-Level Pneumonia Detection on … | 2017-11-14 |
Recent papers with results on this dataset: