An aspect of the present invention relates to a method for transforming medical images, and more particularly, to an image transformation method for converting medical images using a Generative Adversarial Network (GAN).
According to one embodiment of the present invention, the invention provides a medical image transformation method in which a learning model performing machine learning converts between medical images, thereby enabling medical professionals to conduct examination, diagnosis, and treatment based on accurate information, while allowing patients to receive appropriate medical services.
Application / Registration Date
2023.10.04
Application / Registration Number
10-2586483
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 for converting medical images using a Generative Adversarial Network (GAN).
According to one embodiment of the present invention, the invention provides a medical image transformation method in which a learning model performing machine learning converts between medical images, thereby enabling medical professionals to conduct examination, diagnosis, and treatment based on accurate information, while allowing patients to receive appropriate medical services.
Link
https://doi.org/10.8080/1020220158637