@article{Ben Daya_Noguchi_Callaghan_Wong_2016, title={Automated Histological Analysis System for Quantifying Microstructural Damage Accumulation to the Annulus Fibrosus}, volume={2}, url={https://openjournals.uwaterloo.ca/index.php/vsl/article/view/100}, DOI={10.15353/vsnl.v2i1.100}, abstractNote={<p>In this paper, we proposed an automated histological analysis system<br />for quantifying microstructural damage accumulation to the annulus<br />fibrosus. This system takes in a digital histology image and<br />uses Gaussian mixture model based segmentation, followed by<br />connected components analysis to extract and label possible clefts.<br />The image is then refined through spatial and size constraints. Finally,<br />the required statistics for quantifying microstructural damage<br />are calculated.</p>}, number={1}, journal={Journal of Computational Vision and Imaging Systems}, author={Ben Daya, Ibrahim and Noguchi, Mamiko and Callaghan, Jack P. and Wong, Alexander}, year={2016}, month={Oct.} }