A METHODOLOGY FOR IDENTIFYING THE FRACTURE DETECTION USING STATISTICAL MIXTURE MODELS

Medical imaging has been an influencing factor in the area of image processing. Many innovations in the field of medical imaging are presently in usage, towards the effective identification of the diseases. This article highlights the methodology for identification of realignments among the bone structures using model-based approaches. The experimentation is carried out on the medical imaging dataset acquired from American Medical Society. The results are evaluated based on the performance metrics and the developed model has showcased significant results in terms of identification.