An aspect of the present invention relates to a method for transforming medical images using artificial intelligence. More particularly, the invention relates to a medical image transformation method using artificial intelligence that can generate MR images based on CT images or generate CT images based on MR images by utilizing a Generative Adversarial Network (GAN), one of the deep learning technologies.
According to one embodiment of the present invention, a medical image transformation method is provided that can generate MR images based on CT images and, conversely, generate CT images based on MR images.
Application / Registration Date
2024.09.30
Application / Registration Number
10-2713553
Country
Republic of Korea/PCT
Status
Granted
Summary
An aspect of the present invention relates to a method for transforming medical images using artificial intelligence. More particularly, the invention relates to a medical image transformation method using artificial intelligence that can generate MR images based on CT images or generate CT images based on MR images by utilizing a Generative Adversarial Network (GAN), one of the deep learning technologies.
According to one embodiment of the present invention, a medical image transformation method is provided that can generate MR images based on CT images and, conversely, generate CT images based on MR images.
Link
https://doi.org/10.8080/1020220075856