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
Abstract
To develop an artificial intelligence model that uses supervised contrastive learning (SCL) to minimize bias in chest radiograph diagnosis.
Topics & Concepts
MedicineChest radiographReceiver operating characteristicRadiographyRadiologyAtelectasisPleural effusionPneumothoraxInternal medicineLungCOVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingLung Cancer Diagnosis and Treatment