Generation and evaluation of synthetic digital medical images using artificial intelligence

In recent years, there has been a growing interest in the development of intelligent decision-making software in the medical field. The high accuracy of disease diagnosis, classification, and recommendation processes is closely related to the creation of large-scale data sets. In this paper, different from the methods used for rapid calculation of the FID value, it was proposed to introduce the FMD value, whose accuracy is higher than the FID value, in the evaluation of medical images.

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