SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors.
Botond FazekasGuilherme ArestaDmitry A. LachinovSophie RiedlJulia MaiUrsula Schmidt-ErfurthHrvoje BogunovicPublished in: MICCAI (8) (2022)
Keyphrases
- optical coherence tomography
- oct images
- semi supervised
- medical images
- parametric representation
- layered representation
- image segmentation
- semi supervised learning
- statistical shape
- level set
- retinal images
- multiscale
- prior information
- supervised learning
- image analysis
- imaging modalities
- automated segmentation
- fully automatic
- fundus images
- active learning
- shape prior
- medical image analysis
- pairwise constraints
- prior model
- brain structures
- atlas construction
- segmentation method