Conference poster
A Biologically-inspired algorithm for the segmentation of cell nuclei in high resolution histological images
2013
Abstract
Immunohistochemistry (IHC) images are of high resolution and are stained for ER, PR, KI-67 and p53. Image processing can serve an important role in the diagnosis of disease from histopathological data due to its ability to process and analyze whole-slide digital images. Most of the traditional algorithms do not perform segmentation at a low visual level as the spatial relationship between pixels is not often entirely utilized. We developed an algorithm designed to mimic the visual system that utilizes a set of image features and identifies discontinuities within each feature domain. These features are further combined using a concept in neuroscience to generate an intermediate image that is more amenable to traditional tools for performing nuclear segmentation.
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Details
- Title
- A Biologically-inspired algorithm for the segmentation of cell nuclei in high resolution histological images
- Creators
- Sai Chetan Kumar Gudepu (Author)David E. Breen 1960- (Author)Mark D. Zarella (Author)Fernando U. Garcia (Author)
- Resource Type
- Conference poster
- Language
- English
- Academic Unit
- Pathology (and Laboratory Medicine)
- Other Identifier
- 991014632847804721