Automated Histological Analysis System for Quantifying Microstructural Damage Accumulation to the Annulus Fibrosus
Abstract
In this paper, we proposed an automated histological analysis system for quantifying microstructural damage accumulation to the annulus fibrosus. This system takes in a digital histology image and uses Gaussian mixture model based segmentation, followed by connected components analysis to extract and label possible clefts. The image is then refined through spatial and size constraints. Finally, the required statistics for quantifying microstructural damage are calculated.
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http://openjournals.uwaterloo.ca/index.php/vsl/article/view/100http://hdl.handle.net/10012/11555
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Cite this version of the work
Ibrahim Ben Daya, Mamiko Noguchi, Jack P. Callaghan, Alexander Wong
(2016).
Automated Histological Analysis System for Quantifying Microstructural Damage Accumulation to the Annulus Fibrosus. UWSpace.
http://hdl.handle.net/10012/11555
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