Title

Session 13: General Adversarial Networks in Tumor-related Research: A Review and Agenda for Moving Forward

Presenter Information/ Coauthors Information

Andrew Behrens, Dakota State University

Presentation Type

Oral

Student

Yes

Abstract

Recent advances in Generative Adversarial Networks (GANs) have led to many new variants and uses of GANs. The latest advancements have allowed researchers and practitioners to apply this technique to tumor-related problems with limited data. One of the trends in this problem domain is to develop different variants of GANs suited explicitly to particular problems. The variants of GANs are numerous but share a common characteristic of expanding the dataset by creating synthetic data from the original dataset. This paper aims to develop a research agenda through a systematic literature review that investigates practitioners' and researchers' emerging issues and current works on the topic. Emerging implementation trends and limitations of GANs in tumor-related problems are explored.

Start Date

2-8-2022 3:30 PM

End Date

2-8-2022 4:25 PM

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Feb 8th, 3:30 PM Feb 8th, 4:25 PM

Session 13: General Adversarial Networks in Tumor-related Research: A Review and Agenda for Moving Forward

Dakota Room 250 A/C

Recent advances in Generative Adversarial Networks (GANs) have led to many new variants and uses of GANs. The latest advancements have allowed researchers and practitioners to apply this technique to tumor-related problems with limited data. One of the trends in this problem domain is to develop different variants of GANs suited explicitly to particular problems. The variants of GANs are numerous but share a common characteristic of expanding the dataset by creating synthetic data from the original dataset. This paper aims to develop a research agenda through a systematic literature review that investigates practitioners' and researchers' emerging issues and current works on the topic. Emerging implementation trends and limitations of GANs in tumor-related problems are explored.