Invention Grant
- Patent Title: Systems, methods, and apparatuses for implementing fixed-point image-to-image translation using improved generative adversarial networks (GANs)
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Application No.: US17477088Application Date: 2021-09-16
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Publication No.: US12229920B2Publication Date: 2025-02-18
- Inventor: Jianming Liang , Zongwei Zhou , Nima Tajbakhsh , Md Mahfuzur Rahman Siddiquee
- Applicant: Arizona Board of Regents on behalf of Arizona State University
- Applicant Address: US AZ Scottsdale
- Assignee: Arizona Board of Regents on behalf of Arizona State University
- Current Assignee: Arizona Board of Regents on behalf of Arizona State University
- Current Assignee Address: US AZ Scottsdale
- Agency: Elliott, Ostrander & Preston, P.C.
- Main IPC: G06T5/50
- IPC: G06T5/50 ; G06T7/00

Abstract:
Described herein are means for implementing fixed-point image-to-image translation using improved Generative Adversarial Networks (GANs). For instance, an exemplary system is specially configured for implementing a new framework, called a Fixed-Point GAN, which improves upon prior known methodologies by enhancing the quality of the images generated through global, local, and identity transformation. The Fixed-Point GAN as introduced and described herein, improves many applications dependant on image-to-image translation, including those in the field of medical image processing for the purposes of disease detection and localization. Other related embodiments are disclosed.
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