Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment
Karen Drukker(NorthShore University HealthSystem), Maryellen L. Giger(University of Chicago Medical Center), Jayashree Kalpathy–Cramer(University of Colorado Denver), Nicholas P. Gruszauskas(University of Chicago), Berkman Sahiner(United States Food and Drug Administration), Judy Wawira Gichoya(Emory University), Oluwasanmi Koyejo(University of Illinois Urbana-Champaign), Rui Carlos Sá(University of California, San Diego), Weijie Chen(Tongji University), Kyle J. Myers(Ta Solutions (China)), Zi Zhang(Universiti Putra Malaysia), Heather M. Whitney(University of Chicago)
Cited by 137
Related Papers
3D Slicer as an image computing platform for the Quantitative Imaging Network
|Magnetic Resonance Imaging|2012|9.1k
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
|IEEE Transactions on Medical Imaging|2014|6.7k
Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials
|Neuro-Oncology|2015|670
Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks
|JAMA Ophthalmology|2018|660