Automatic fluid segmentation in retinal optical coherence tomography images using attention based deep learning.
Xiaoming LiuShaocheng WangYing ZhangDong LiuWei HuPublished in: Neurocomputing (2021)
Keyphrases
- oct images
- optical coherence tomography
- deep learning
- spectral domain
- fundus images
- motion artifacts
- image analysis
- imaging modalities
- segmentation algorithm
- fully automatic
- segmentation method
- automated segmentation
- cross sections
- optic disc
- retinal images
- image data
- ground truth
- test images
- multiple objects
- three dimensional
- region of interest
- cross section
- data mining
- unsupervised learning
- supervised learning
- input image
- high resolution
- computer vision