Developing a Continuous Severity Scale for Macular Telangiectasia Type 2 Using Deep Learning and Implications for Disease Grading
Yuxia Wu(University of Washington), Aaron Lee(Imperial College London), Adnan Tufail(Moorfields Eye Hospital), Tünde Pető(John Radcliffe Hospital), Abraham Olvera‐Barrios(Moorfields Eye Hospital NHS Foundation Trust), Catherine Egan(Maine Farmland Trust), Martin Friedlander(Scripps Research Institute), Irene Leung(Moorfields Eye Hospital NHS Foundation Trust), Tjebo Heeren(Maine Farmland Trust), Cecilia S. Lee(University of Washington), Peter Charbel Issa(Technical University of Munich), Lea Scheppke(The Lowy Medical Research Institute), Emily Y. Chew(National Institutes of Health), Anand E. Rajesh(Oregon Health & Science University)
Cited by 14
Related Papers
Next-generation genotype imputation service and methods
|Nature Genetics|2016|4.5k
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
|Nature Medicine|2020|1.2k
Seven new loci associated with age-related macular degeneration
|Nature Genetics|2013|802
Deep Learning Is Effective for Classifying Normal versus Age-Related Macular Degeneration OCT Images
|Ophthalmology Retina|2017|669