Identifying and Categorizing Anomalies in Retinal Imaging Data.
Philipp SeeböckSebastian M. WaldsteinSophie KlimschaBianca S. GerendasRené DonnerThomas SchleglUrsula Schmidt-ErfurthGeorg LangsPublished in: CoRR (2016)
Keyphrases
- data sets
- complex data
- data quality
- database
- training data
- data acquisition
- data collection
- computer vision
- data structure
- small number
- raw data
- data distribution
- spatial data
- missing data
- image processing
- medical images
- experimental data
- high dimensional data
- statistical analysis
- knowledge discovery
- data points
- end users
- data sources
- image analysis
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- high quality
- decision trees