Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications, and Challenges-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:12 Page:35728-35753
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Islam Showrov¹^ORCID,Aziz Md. Tarek¹,Nabil Hadiur Rahman¹^ORCID,Jim Jamin Rahman¹^ORCID,Mridha M. F.¹^ORCID,Kabir Md. Mohsin²^ORCID,Asai Nobuyoshi³^ORCID,Shin Jungpil³^ORCID

Affiliation:

1. Department of Computer Science and Engineering, American International University-Bangladesh, Dhaka, Bangladesh

2. Faculty of Informatics, Eövös Loránd University, Budapest, Hungary

3. School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan

Funder

Competitive Research Fund of The University of Aizu, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10445413.pdf?arnumber=10445413

Reference172 articles.

1. Generative adversarial network in medical imaging: A review

2. Generative adversarial networks

3. CycleGAN, a master of steganography;Chu;arXiv:1712.02950,2017

4. Image-to-Image Translation with Conditional Adversarial Networks

5. Progressive growing of GANs for improved quality, stability, and variation;Karras;arXiv:1710.10196,2017

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