This invention describes a method for analyzing medical images of a person's spine. It works by first receiving an image of the vertebral column, then identifying the central location of each individual spinal bone within that image. Using these pinpointed central locations, the system calculates how much at least one of the spinal bones is deformed, which can also help detect fractures.
Why it matters: Since 2019, deep learning and advanced computer vision techniques have dramatically improved the precision and automation of medical image segmentation and feature extraction. This progress could simplify the development of algorithms for accurately identifying vertebral positions and assessing their deformity.
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