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Development of a generative adversarial neural network for synthetic data generation to enhance AI-based OCT image analysis.
In the development of AI-assisted imaging tools, Perimeter faces the challenge of enhancing the accuracy and efficiency of tumor margin assessments. This research investigates whether generative AI can be used to synthesize supplemental data, alongside automated data annotation techniques can drive measurable improvements in the performance of Perimeter’s AI tools.
Faculty Supervisor:
Kumaradevan Punithakumar
Student:
Partner:
Perimeter
Discipline:
Engineering
Sector:
Biotechnology; Health and Related Sciences & Technology; Technology
University:
University of Alberta
Program:
Accelerate
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