Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural Networks.
Timo KeppJan EhrhardtMattias P. HeinrichGereon HüttmannHeinz HandelsPublished in: ISBI (2019)
Keyphrases
- topology preserving
- convolutional neural networks
- optical coherence tomography
- image data
- oct images
- level set method
- level set
- topology preservation
- retinal images
- competitive learning
- binary images
- self organizing maps
- thinning algorithm
- model selection
- imaging modalities
- image quality
- geometric deformable models
- object recognition
- active contours
- input data
- shape features
- neural network
- computer vision
- blood vessels
- support vector
- image segmentation
- deformation field
- energy functional
- shape prior
- unsupervised learning
- least squares