The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
GAN-Based Medical Images Synthesis: A Review
Abstract
Medical images have always occupied a very important position in modern medical diagnosis. They are standard tools for doctors to carry out clinical diagnosis. However, nowadays, most clinical diagnosis relies on the doctors' professional knowledge and personal experience, which can be easily affected by many factors. In order to reduce the diagnosis errors caused by human subjective differences and improve the accuracy and reliability of the diagnosis results, a practical and reliable method is to use artificial intelligence technology to assist computer-aided diagnosis (CAD). With the help of powerful computer storage capabilities and advanced artificial intelligence algorithms, CAD can make up for the shortcomings of traditional manual diagnosis and realize efficient, intelligent diagnosis. This paper reviews GAN-based medical image synthesis methods, introduces the basic architecture and important improvements of GAN, lists some representative application examples, and finally makes a summary and discussion.
Related Content
|
Aylin Gökhan, Kubilay Dogan Kilic, Türker Çavuşoğlu, Yiğit Uyanıkgil.
© 2024.
12 pages.
|
|
Pratyush Panda, Subhalaxmi Das.
© 2024.
21 pages.
|
|
Vikram Singh, Sangeeta Rani.
© 2024.
17 pages.
|
|
Pancham Singh, Mrignainy Kansal, Shirshendu Lahiri, Harshit Vishnoi, Lakshay Mittal.
© 2024.
19 pages.
|
|
Shreeharsha Dash, Subhalaxmi Das.
© 2024.
16 pages.
|
|
V. Sathya, Shalini Parthiban, M. Megavarshini, V. Shenbagaraman, R. Ramya.
© 2024.
13 pages.
|
|
Olalekan Joel Awujoola, Theophilus Enem Aniemeka, Oluwasegun Abiodun Abioye, Abidemi Elizabeth Awujoola, Fiyinfoluwa Ajakaiye, Olayinka Racheal Adelegan.
© 2024.
34 pages.
|
|
|