Training Deep Learning Models to Work on Multiple Devices by Cross-Domain Learning with No Additional Annotations
Yue Wu(University of Washington), Aaron Lee(Imperial College London), Marian Blazes(University of Washington), Abraham Olvera‐Barrios(Moorfields Eye Hospital NHS Foundation Trust), Catherine Egan(Maine Farmland Trust), Randy Lu(University of Washington), Hanan Nussinovitch(Moorfields Eye Hospital NHS Foundation Trust), Irene Leung(Moorfields Eye Hospital NHS Foundation Trust), Cecilia S. Lee(University of Washington), Timothy-Paul H. Kung(University at Buffalo, State University of New York), Amit V. Mishra(Moorfields Eye Hospital NHS Foundation Trust), Ryan T. Yanagihara(University of Washington), Gabriela Grimaldi(Moorfields Eye Hospital NHS Foundation Trust), Adnan Tufail(Moorfields Eye Hospital)
Cited by 20
Related Papers
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
|Nature Medicine|2020|1.2k
Deep Learning Is Effective for Classifying Normal versus Age-Related Macular Degeneration OCT Images
|Ophthalmology Retina|2017|669
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
|Nature Medicine|2020|665