Deep residual-network-based quality assessment for SD-OCT retinal images: preliminary study.
Min ZhangJia Yang WangLei ZhangJun FengYi LvPublished in: Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Keyphrases
- quality assessment
- preliminary study
- retinal images
- optical coherence tomography
- blood vessels
- vessel segmentation
- image quality
- motion artifacts
- fundus images
- diabetic retinopathy
- data quality
- optic disc
- human visual system
- visual quality
- low contrast
- region of interest
- fully automatic
- data warehouse
- motion compensation
- data analysis
- computational complexity
- multiscale