GENERATIVE ADVERSARIAL NETWORKS IN MEDICAL IMAGE PROCESSING
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Generative Adversarial Networks
Abstract
Generative Adversarial Networks (GANs) have revolutionized image processing by offering previously unattainable capabilities for generating, modifying, and refining images. This article provides a thorough overview of GAN architectures, including their applications advancements, and challenges in image processing. We want to present the evolution of GANs, analyse their performance on various image-related tasks, and discuss future directions for study and development.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Karthik Kumar P | Alva's Institute Of Engineering And Technology |
| 2 | Guruprasad | Alva's Institute Of Engineering And Technology |
| 3 | Hemish Naidu | Alva's Institute Of Engineering And Technology |
| 4 | Krishna Kumar N | Alva's Institute Of Engineering And Technology |
| 5 | Prof Naveen G | Alva's Institute Of Engineering And Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
P, Karthik Kumar, Guruprasad, Naidu, Hemish, N, Krishna Kumar, & G, Prof Naveen (2024). GENERATIVE ADVERSARIAL NETWORKS IN MEDICAL IMAGE PROCESSING. International Journal of Advance Research and Innovative Ideas In Education, 10(4), 2663-2670.
MLA Style
P, Karthik Kumar, et al. "GENERATIVE ADVERSARIAL NETWORKS IN MEDICAL IMAGE PROCESSING." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 4, 2024, pp. 2663-2670.
IEEE Style
Karthik Kumar P, Guruprasad, Hemish Naidu, Krishna Kumar N, and Prof Naveen G, "GENERATIVE ADVERSARIAL NETWORKS IN MEDICAL IMAGE PROCESSING," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 4, pp. 2663-2670, 2024.
Vancouver Style
P Karthik Kumar, Guruprasad, Naidu Hemish, N Krishna Kumar, G Prof Naveen. GENERATIVE ADVERSARIAL NETWORKS IN MEDICAL IMAGE PROCESSING. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(4):2663-2670.
Harvard Style
P, Karthik Kumar, Guruprasad, Naidu, Hemish, N, Krishna Kumar, & G, Prof Naveen (2024) 'GENERATIVE ADVERSARIAL NETWORKS IN MEDICAL IMAGE PROCESSING', International Journal of Advance Research and Innovative Ideas In Education, 10(4), pp. 2663-2670.
Chicago Style
P, Karthik Kumar, et al. "GENERATIVE ADVERSARIAL NETWORKS IN MEDICAL IMAGE PROCESSING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 4 (2024): 2663-2670.
Turabian Style
P, Karthik Kumar, et al. "GENERATIVE ADVERSARIAL NETWORKS IN MEDICAL IMAGE PROCESSING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 4 (2024): 2663-2670.
Related Research
CYBERSECURITY WITH AI
PDF Unavailable
DESIGN AND IMPLEMENTATION OF A SECURE IMAGE STEGANOGRAPHY SYSTEM USING LSB AND CRYPTOGRAPHY
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
PDF Unavailable
BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
PDF Unavailable