Deep Learning And Virtual Reality In The Surgical Sciences

Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Deep Learning And Virtual Reality In The Surgical Sciences

Alternative title

Published Date

2024-03

Publisher

Type

Thesis or Dissertation

Abstract

The development of visualization tools has seen remarkable expansion, with Virtual Reality (VR) and Augmented Reality (AR) emerging as groundbreaking technologies that hold significant potential in the medical field. However, their application is currently limited by the need for further advancements in creating content that merits visualization. This dissertation delves into various applications of these technologies. Initially, we will leverage deep learning to derive insights from data, which will subsequently facilitate the creation of 3D models. Following this, we will investigate the visualization strategies themselves. We aim to demonstrate how such models can serve a wide range of medical applications, from educational purposes to pre-surgical planning and assistance during surgical procedures.

Keywords

Description

University of Minnesota Ph.D. dissertation. March 2024. Major: Biomedical Informatics and Computational Biology. Advisors: Paul Iaizzo, William Durfee. 1 computer file (PDF); ix, 123 pages.

Related to

Replaces

License

Collections

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Other identifiers

Suggested citation

Gaasedelen, Erik. (2024). Deep Learning And Virtual Reality In The Surgical Sciences. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/262771.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.