Machine learning model, program, ultrasound diagnostic apparatus, ultrasound diagnostic system, image processing apparatus, and training apparatus

Abstract

Techniques for efficiently generating time-varying image data for use in training a machine learning model are disclosed. An aspect of the present disclosure relates to a machine learning model trained using training data that includes at least one piece of training time-varying image data of second time-varying image data and third time-varying image data, the second time-varying image data being obtained by standardizing first time-varying image data in a time direction, the first time-varying image data being based on a reception signal for image generation received by an ultrasound probe, third time-varying image data being based on the second time-varying image data, and, and ground truth data including a detection target corresponding to the at least one piece of training time-varying image data.