CONTINUOUS LEARNING FOR AUTOMATIC VIEW PLANNING FOR IMAGE ACQUISITION

摘要

Systems and methods are described for automatically identifying an anatomical landmark in a medical image according to local preferences associated with a particular clinical site. A medical image for performing a medical procedure is received. An anatomical landmark is identified in the medical image using a pre-trained machine learning algorithm. Feedback relating to the identified anatomical landmark is received from a user associated with a particular clinical site. The feedback is received during a normal workflow for performing the medical procedure. The pre-trained machine learning algorithm is retrained based on the received feedback such that the retrained machine learning algorithm is trained according to local preferences associated with the particular clinical site.