5K CT Images on Fractured Limbs: A Dataset for Medical Imaging Research.

Imaging techniques widely use Computed Tomography (CT) scans for various purposes, such as screening, diagnosis, and decision-making. Of all, it holds true for bone injuries. To build fully automated Computer-Aided Detection (CADe) and Diagnosis (CADx) tools and techniques, it requires fairly large amount of data (with gold standard).

Automated Fractured Bone Segmentation and Labeling from CT Images.

Within the scope of education and training, automatic and accurate segmentation of fractured bones from Computed Tomographic (CT) images is the fundamental step in several different applications, such as trauma analysis, visualization, diagnosis, surgical planning and simulation. It helps physicians analyze the severity of injury by taking into account the following fracture features, such as location of the fracture, number of pieces and deviation from the original location. Besides, it helps provide accurate 3D visualization and decide optimal recovery plans/processes.

A Systematic Review on Orthopedic Simulators for Psycho-Motor Skill and Surgical Procedure Training.

Precise simulators can replicate complete understanding of the models. In this survey, we focus on orthopedic simulators that are not only in replicating real-world models but also in educating with complete procedure: surgical, for instance. It covers 18 hip replacement, three-knee replacement, three facial surgeries, one spine surgery and six orthopedic psycho-motor skills training and assessment-based simulators.