Medical image diagnosis assistance apparatus and method for providing user-preferred style based on medical artificial neural network

An artificial neural network-based medical image diagnosis assistance apparatus for assisting in diagnosing a medical image based on a medical artificial neural network, the medical image diagnosis assistance apparatus comprising a computing system, the computing system comprising at least one processor, wherein the at least one processor is configured to:

• acquire or receive a first analysis result obtained through an inference of a first artificial neural network about a first medical image;
• control a style learning model so that the style learning model generates a second analysis result for the first analysis result;
• and
• visualize the first medical image and the second analysis result together, and provide the visualized first medical image and second analysis result to a user.

An artificial neural network-based medical image diagnosis assistance method that is performed by a computing system, the computing system comprising at least one processor, the artificial neural network-based medical image diagnosis assistance method comprising:

• acquiring or receiving, by the at least one processor, a first analysis result obtained through an inference of a first artificial neural network about a first medical image;
• detecting, by the at least one processor, user feedback on the first analysis result input by a user;
• determining, by the at least one processor, whether the first analysis result and the user feedback satisfy training conditions;
• and
• transferring, by the at least one processor, the first analysis result and the user feedback satisfying the training conditions to a style learning model so that the style learning model is trained on the first analysis result and the user feedback.

An artificial neural network-based medical image diagnosis assistance method that is performed by a computing system, the computing system comprising at least one processor, the artificial neural network-based medical image diagnosis assistance method comprising:

• acquiring or receiving, by the at least one processor, a first analysis result obtained through an inference of a first artificial neural network about a first medical image;
• controlling, by the at least one processor, a style learning model so that the style learning model generates a second analysis result for the first analysis result;
• and
• visualizing, by the at least one processor, the first medical image and the second analysis result together, and providing, by the at least one processor, the visualized first medical image and second analysis result to a user.