An aspect of the present invention relates to a method for transforming medical images, and more particularly, to an image transformation method that converts medical images using a Generative Adversarial Network (GAN).
According to one embodiment of the present invention, the invention provides a medical image transformation method that enables medical professionals to perform medical examination, diagnosis, and treatment based on accurate information through the conversion between medical images by a machine learning model, thereby allowing patients to receive appropriate medical services.
Application / Registration Date
2023.08.31
Application / Registration Number
10-2574757
Country
Republic of Korea/PCT
Status
Granted
Summary
An aspect of the present invention relates to a method for transforming medical images, and more particularly, to an image transformation method that converts medical images using a Generative Adversarial Network (GAN).
According to one embodiment of the present invention, the invention provides a medical image transformation method that enables medical professionals to perform medical examination, diagnosis, and treatment based on accurate information through the conversion between medical images by a machine learning model, thereby allowing patients to receive appropriate medical services.
Link
https://doi.org/10.8080/1020220158815