In vitro Diagnosis of Exercise Related Skin Trauma based on Spatiotemporal Image Segmentation

Abstract

In vitro diagnosis is a kind of product and service that can get clinical diagnosis information by detecting human samples (blood, body fluid, tissue, etc.) outside human body and then judge disease or body’s functioning. This paper proposes an in vitro diagnosis method based on spatiotemporal image segmentation. Firstly, the image sequence segmentation method based on spatiotemporal Markov random field is used to segment computed tomography image, then the computed tomography image of exercise related skin trauma is segmented. According to the segmented computed tomography image, the in vitro diagnosis of exercise-related skin trauma is realized by the detection method based on the superpixel spatiotemporal characteristics. The results show that the proposed method can effectively detect skin trauma in vitro and has good segmentation effect on skin computed tomography image, as well as high accuracy in trauma detection. It can also be used in physical examination, chronic disease management and severe disease monitoring. Compared with similar detection methods, this method has significant application value.