Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications, and Challenges

Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications, and Challenges

Generative Adversarial Networks are a class of artificial intelligence algorithms that consist of a generator and a discriminator trained simultaneously through adversarial training. GANs have found crucial applications in various fields, including medical imaging. In healthcare, GANs contribute by...

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Bibliographic Details
Main Authors: Showrov Islam, Md. Tarek Aziz, Hadiur Rahman Nabil, Jamin Rahman Jim, M. F. Mridha, Md. Mohsin Kabir, Nobuyoshi Asai, Jungpil Shin
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Generative adversarial networks
medical imaging
medical image synthesis
medical image enhancement
medical image augmentation
medical image segmentation
Online Access:https://ieeexplore.ieee.org/document/10445413/

Internet

https://ieeexplore.ieee.org/document/10445413/

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