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

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


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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