Automated Image Quality Assessment for Fundus Images in Retinopathy of Prematurity.
Aaron S. CoynerRyan SwanJayashree Kalpathy-CramerSang-Jin KimJohn Peter CampbellKaryn JonasSusan OstmoR. V. P. ChanMichael F. ChiangPublished in: AMIA (2017)
Keyphrases
- image quality assessment
- fundus images
- structural similarity
- quality assessment
- image quality
- blood vessels
- natural scene statistics
- human visual system
- optic disc
- image database
- image quality metrics
- natural images
- quality evaluation
- optical coherence tomography
- reduced reference
- correlation coefficient
- quality metrics
- kullback leibler divergence
- visual perception
- retinal images
- quality measures
- data mining
- human perception
- natural scenes
- diabetic retinopathy
- structural information
- data warehouse
- image registration