Statistical Models of Signal and Noise and Fundamental Limits of Segmentation Accuracy in Retinal Optical Coherence Tomography.
Theodore B. DuboseDavid CunefareElijah ColePeyman MilanfarJoseph A. IzattSina FarsiuPublished in: IEEE Trans. Medical Imaging (2018)
Keyphrases
- statistical models
- optical coherence tomography
- segmentation accuracy
- fundamental limits
- oct images
- statistical model
- object segmentation
- automated segmentation
- retinal images
- imaging modalities
- shape prior
- fundus images
- parameter estimation
- high frequency
- coronary artery
- cross sections
- manual segmentation
- medical images
- frequency domain
- model selection
- automatic segmentation
- multiscale
- super resolution
- prior knowledge