Nonparametric joint shape and feature priors for image segmentation
In many image segmentation problems involving limited and low-quality data, employing
statistical prior information about the shapes of the objects to be segmented can significantly …
statistical prior information about the shapes of the objects to be segmented can significantly …
Bayesian methods for segmentation of objects from multimodal and complex shape densities using statistical shape priors
E Erdil - 2018 - research.sabanciuniv.edu
In many image segmentation problems involving limited and low-quality data, employing
statistical prior information about the shapes of the objects to be segmented can significantly …
statistical prior information about the shapes of the objects to be segmented can significantly …
Coupled shape priors for dynamic segmentation of dendritic spines
N Atabakilachini, E Erdil, AO Argunsah… - 2017 25th Signal …, 2017 - ieeexplore.ieee.org
Segmentation of biomedical images is a challenging task, especially when there is low
quality or missing data. The use of prior information can provide significant assistance for …
quality or missing data. The use of prior information can provide significant assistance for …
3B dendritic spine segmentation using nonparametric shape priors
E Böcügöz, E Erdil, AÖ Argunşah… - 2017 25th Signal …, 2017 - ieeexplore.ieee.org
Analyzing morphological and structural changes of dendritic spines in 2-photon microscopy
images in time is important for neuroscience researchers. Correct segmentation of dendritic …
images in time is important for neuroscience researchers. Correct segmentation of dendritic …