REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Christian Doppler Laboratory for Thermoelectricity · Medical University of Vienna · +20 more institutions
Indexed inarxivcrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
810
total citations
- FWCI
- 46.51
- Percentile
- 100%
- References
- 131
Citations per year
Authors
31- JIJosé Ignacio OrlandoCorresponding
Christian Doppler Laboratory for Thermoelectricity, Medical University of Vienna
- HFHuazhu Fu
Inception Institute of Artificial Intelligence
- JBJoão Barbosa‐Breda
Universidade do Porto, KU Leuven
- KVKarel Van Keer
KU Leuven
- DRDeepti R. Bathula
Indian Institute of Technology Ropar
Topics & keywords
Topics
Keywords
- Glaucoma
- Computer science
- Fundus (uterus)
- Artificial intelligence
- Ground truth
- Fundus photography
- Segmentation
- Benchmark (surveying)
UN Sustainable Development Goals
- Decent work and economic growth
No related works found for this paper.
Funding
- ÖNÖsterreichische Nationalstiftung für Forschung, Technologie und Entwicklung
- NNNational Natural Science Foundation of ChinaAward: 11571031
- VSVienna Science and Technology FundAwards: VRG12-009, FA7464A0249
- UWUniversität Wien
- NSNatural Science Foundation of Guangdong Province
- MUMedizinische Universität Wien
- CDChristian Doppler Forschungsgesellschaft
- BFBundesministerium für Digitalisierung und Wirtschaftsstandort