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Integration of hippocampal subfield measurements into a streamlined MRI volumetry pipeline using deep learning
The hippocampus is a small brain region that has a key role in brain diseases including Alzheimer’s and epilepsy. The measurement of hippocampal volume on MRI is important for the diagnosis of these diseases, but this is a complex task because it is a small structure. Further, the hippocampus is divided in sub-regions that are impacted differently by the diseases. This project aims to use artificial intelligence technology to rapidly and reliably measure all sub-regions of the hippocampus and develop this as a clinical tool that could be used in hospitals and clinics.
Faculty Supervisor:
Mallar Chakravarty
Student:
Swapna Premasiri
Partner:
Arctic Fox AI
Discipline:
Engineering - biomedical
Sector:
Professional, scientific and technical services
University:
McGill University
Program:
Accelerate
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