A supervised joint multi-layer segmentation framework for retinal optical coherence tomography images using conditional random field.
Arunava ChakravartyJayanthi SivaswamyPublished in: Comput. Methods Programs Biomed. (2018)
Keyphrases
- oct images
- optical coherence tomography
- multi layer
- segmentation method
- conditional random fields
- fundus images
- segmentation algorithm
- motion artifacts
- image analysis
- automated segmentation
- probabilistic model
- fully automatic
- imaging modalities
- neural network
- image classification
- input image
- superpixels
- retinal images
- multiscale
- semantic segmentation
- cross sections
- generative model
- image segmentation
- random fields
- image features
- object recognition
- machine learning
- optic disc
- crf model
- hidden markov models
- region of interest
- test images
- level set