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Machine learning algorithms help to deeply analyses and monitor the minor changes in the objects. In the medical image, a little doubtful value also creates a big transformation in the outcome, which will be sorted out using learning-based algorithms. In this discussion, a genetic bone disorder Fibrous Dysplasia (FD) is considered, which replaces the bone tissues with fibrous tissues which lead to bone fracture or bone deformity. In this paper, three different bone investigation approaches are taken for discussion as Bone Mineral Density (BMD), Quantitative Measures for bone for analyzing thickness and, Algorithm based models are used for abnormality detections. The BMD test is used to calculate the life span of the bone and estimated fractural risk. The second analysis begins with quantitative measurements on different imaging techniques, which are applied to bone scan images to monitor the abnormality. The …