Automated Histological Analysis System for Quantifying Microstructural Damage Accumulation to the Annulus Fibrosus

  • Ibrahim Ben Daya
  • Mamiko Noguchi
  • Jack P. Callaghan
  • Alexander Wong

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.

Published
2016-10-03
How to Cite
Ben Daya, I., Noguchi, M., Callaghan, J., & 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). https://doi.org/10.15353/vsnl.v2i1.100
Section
Articles