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The research in medical domain has always been interesting due to its complexity, the risk associated with human’s life and the limited availability of the data. Assisting physicians with a 3-dimensional model, will definitely help to diagnose the patient in a timely and accurate manner. There is the need for medical image annotation systems that are accurate as manual annotation is impractical, time-consuming and prone to errors. The objective of this research is to generate and visualize a 3- dimensional model in a virtual environment from good annotated Magnetic Resonance Imaging (MRI) dataset. This is a part of my master’s thesis advised by Dr. Tam Nguyen.Visualization in virtual environment is not only beneficial for physicians to treat patients but also to avoid complications during surgery and plan out how to approach a tumor and avoid critical areas like the motor cortex or the sensory areas. Many computational models to support human life will be proposed from the strong annotated dataset.
Van Tam Nguyen
Primary Advisor's Department
Stander Symposium Posters, College of Arts and Sciences
United Nations Sustainable Development Goals
Good Health and Well-Being
"Medical Image Annotation in Virtual Environment" (2020). Stander Symposium Projects. 2035.