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Principles of creating a decision-making system for a radiologist-mammologist
(2021) Efimova, A.
For the main method of breast cancer prevention-screening, there is currently no CAD system that can work on the "white box" principle. False positives also reduce the confidence of doctors with the CAD system. Also, there are no systems for monitoring the laying of the breast for an X-ray technician. The development of CAD systems in mammology is mainly carried out using computer vision technologies, while the proposed solution uses not only computer vision but also a knowledge base for verifying the output of neural networks and production output, taking into account the probabilities of the appearance of signs of the disease. This approach is quite flexible and scalable – knowledge can be both accumulated and obtained, and recognition modules can be added or retrained. Changing the knowledge base allows you to show the doctor based on which knowledge the pathological formation was determined. But most importantly, knowledge base agents in the future can connect to the hospital information system (HIS) and independently request the data necessary for the preparation of the study report. This approach allows you to fully simulate the activities of a diagnostic doctor.