Automatic retinal structure segmentation via U-Net framework and quantitative analysis with ImageJ.
Shenghui ZhaoWeizheng KongJiahui ShaoZicheng ZhouWen ChenHuiqun WuPublished in: ISAIMS (2020)
Keyphrases
- quantitative analysis
- qualitative analysis
- fully automatic
- brain structures
- cell nuclei
- image analysis
- qualitative and quantitative analysis
- qualitative evaluation
- cell segmentation
- digital image processing
- region growing
- semi automatic
- segmentation method
- blood vessels
- multiscale
- statistical classification
- retinal vessel
- computer vision
- brain mri
- features extraction
- quantitative evaluation
- level set
- edge detection
- image segmentation