Automated Histological Analysis System for Quantifying Microstructural Damage Accumulation to the Annulus Fibrosus
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Date
2016
Authors
Ben Daya, Ibrahim
Noguchi, Mamiko
Callaghan, Jack P.
Wong, Alexander
Journal Title
Journal ISSN
Volume Title
Publisher
Kitchener-Waterloo Vision and Imaging Society
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.
Description
Ben Daya, I., Noguchi, M., Callaghan, J. P., & Wong, A. (2016). Automated Histological Analysis System for Quantifying Microstructural Damage Accumulation to the Annulus Fibrosus. Journal of Computational Vision and Imaging Systems, 2(1). Retrieved from http://openjournals.uwaterloo.ca/index.php/vsl/article/view/100