Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus Images
Author:
Affiliation:
1. Renmin University of China,Beijing,China
2. Peking Union Medical College Hospital,Beijing,China
3. Vistel,Beijing,China
4. Carl Zeiss Meditec,Dublin,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385359.pdf?arnumber=10385359
Reference32 articles.
1. Ultra-widefield retinal imaging: an update on recent advances
2. ULTRA-WIDEFIELD FUNDUS IMAGING
3. Deep learning-based classification of retinal vascular diseases using ultra-widefield colour fundus photographs
4. Deep Learning for the Detection of Multiple Fundus Diseases Using Ultra-widefield Images
5. Development of a deep-learning system for detection of lattice degeneration, retinal breaks, and retinal detachment in tessellated eyes using ultra-wide-field fundus images: a pilot study
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