The use of adversarial deep learning, and more specifically Deep-Injury Region Identification, can improve the ability to identify damaged muscle in X-ray and CT images. The method also involves identifying injuries in significant abdominal muscles. Methods: Using a shape model, discovering landmarks, and generating a form model … are the steps necessary to identify injuries in key shoulder and leg muscles. Objective: This study aims to determine how to recognize the major muscles in the shoulder and leg utilizing X-ray CT images as its primary diagnostic tool. One proposed automated technique has the overarching goal of enhancing recognition. Athletes who participate in sports that require running, jumping, or throwing are more likely to get injuries such as sprains, strains, tendinitis, fractures, and dislocations. Abstract: Background: In this research, imaging techniques such as CT and X-ray are used to locate important muscles in the shoulders and legs.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |