Abstract: Technology provides baseline images for diagnostic applications, including receiving a diagnostic image relating to a condition of a patient, the diagnostic image reflecting one of a normal state or an abnormal state of the condition, and generating a baseline image via a neural network using the diagnostic image, where the neural network is trained to generate a prediction of the diagnostic image reflecting a normal state of the condition. The neural network can include a generative adversarial network (GAN) trained only on image data with a normal state of the condition, where generating the baseline image includes an optimization process to maximize a similarity between the diagnostic image and a response of the GAN. Generating the baseline image can include selecting a portion of the diagnostic image, and adjusting a relevance weighting to be applied to the selected portion of the diagnostic image in the optimization process.

Abstract: A barbecue assembly includes a barbecue unit supported by a barbecue stand. The barbecue stand has a main vertical support. A plurality of support members are provided at the top of the main vertical support, and serve to support the barbecue unit on top of the stand. A plurality of legs are connected to and extend out laterally from a lower portion of the main vertical support. Wheels are provided on some of the legs for moving the barbecue assembly from one location to another. The stand is configured and positioned in relation to the barbecue unit so that the overall unit can be easily wheeled around, is less susceptible to being tipped over, and does not take up too much floor space.