A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image.
Yufei WangYiqing ShenMeng YuanJing XuBin YangChi LiuWenjia CaiWeijing ChengWei WangPublished in: CoRR (2021)
Keyphrases
- quality assessment
- benchmark datasets
- deep learning
- segmentation method
- image segmentation
- segmentation algorithm
- image quality assessment
- image regions
- multiscale
- input image
- image data
- test images
- image content
- image quality
- image features
- image classification
- energy function
- high resolution
- similarity measure
- image retrieval
- human visual system
- multiple objects
- low level
- level set
- object segmentation
- image database