Method of determining contrast phase of a computerized tomography image

A computer system comprising:

• one or more computer readable storage media with program instructions collectively stored on the one or more computer readable storage media;
• and
• one or more processors configured to execute the program instructions to perform a method for generating a training model for object detection, the method comprising:
• training an artificial intelligence (AI) algorithm utilizing a set of CPs labeled CECT data to associate a set of characteristics of the data with a probability associated with the CP;
• receiving a new set of unlabeled CECT data;
• applying the AI algorithm to the new unlabeled CECT data to associate a first probability of a first CP and a second probability of a second CP;
• and
• providing a graphical representation including the first probability of the first CP and the second probability of the second CP.

A computer program product for context aware anomaly detection, the computer program product comprising:

• one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions comprising:
• program instructions to train an artificial intelligence (AI) algorithm utilizing a set of CPs labeled CECT data to associate a set of characteristics of the data with a probability associated with the CP;
• program instructions to receive a new set of unlabeled CECT data;
• program instruction to apply the AI algorithm to the new unlabeled CECT data to associate a first probability of a first CP and a second probability of a second CP;
• and
• program instructions to provide a graphical representation including the first probability of the first CP and the second probability of the second CP.