Concepedia

Improving Fairness of Automated Chest Radiograph Diagnosis by Contrastive Learning

Mingquan Lin, Tianhao Li, Zhaoyi Sun, Gregory Holste, Ying Ding, Fei Wang, George Shih, Yifan Peng

Radiology Artificial Intelligence · 2024 · 11 citations · 15 references

DOIFull text

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Concepts

Abstract

To develop an artificial intelligence model that uses supervised contrastive learning (SCL) to minimize bias in chest radiograph diagnosis.

References

15

Densely Connected Convolutional Networks

Gao Huang, Zhuang Liu, Laurens van der Maaten et al. · 2017 · 44.7K citations

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CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Jeremy Irvin, Pranav Rajpurkar, Michael Ko et al. · 2019 · 2.6K citations · Full text

, , +14

Implementing Machine Learning in Health Care — Addressing Ethical Challenges

Danton Char, Nigam H. Shah, David Magnus · New England Journal of Medicine · 2018 · 1.6K citations · Full text

, , +17

MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

Alistair E. W. Johnson, Tom Pollard, Seth J. Berkowitz et al. · Scientific Data · 2019 · 1.6K citations · Full text

, , +14

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu et al. · arXiv (Cornell University) · 2017 · 1.3K citations · Full text

, , +15