Deep Learning And Virtual Reality In The Surgical Sciences
2024-03
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Deep Learning And Virtual Reality In The Surgical Sciences
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2024-03
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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.
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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.
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Gaasedelen, Erik. (2024). Deep Learning And Virtual Reality In The Surgical Sciences. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/262771.
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