Approximately 5% of the population has a Spondylolisthesis (one of the lower vertebrae slips forward onto the bone directly beneath it). Non-invasive image-based assessment of this spinal structure is an increasing demand in healthcare service. However, the massive information embedded in the increasing large imaging scans has made manual inspection a lengthy and tedious task and observer dependent. The proposed research aims at a computer-aided spinal-scan assessment software toolkit facilitating the diagnosis of Spondylolisthesis.
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