Generation of Visualized Medical Rehabilitation Exercise Prescriptions with Diffusion Models
摘要
Visualization of medical rehabilitation exercise prescriptions is to provide a more intuitive and understandable way of conveying medical guidance through visual means. Currently, the generation of visualized medical rehabilitation exercise prescriptions is largely based on the manual use of software for hand drawing. However, not only does this production method exhibit the drawbacks of complexity and high labor costs, but it also suffers from low production efficiency. In this study, we present four novel methods that aim to harness the potential of existing Stable Diffusion to generate visualized medical rehabilitation exercise prescription outputs, as well as to exemplify the generation of visualized rehabilitation exercise prescriptions for frozen shoulders. Experimental results demonstrate that our approaches achieve high-quality and more precise visualized rehabilitation exercise prescriptions.