AI Seminar – Bill Leslie
Online
Online
Abstract: Vertebral fracture diagnosis is difficult even for experts radiologists, but is integral to the care of patients with osteoporosis. Features are often subtle leading to underdiagnosis but may also be mimicked by normal variants leading to overdiagnosis, a "perfect storm." We discuss our experience with convolutional neural networks (CNNs) for automating vertebral fracture recognition from low-resolution DXA images. Recently, we have applied transfer learning and active learning to address different scan modes and generalization to other cohorts.
Presenter Bio: Dr. Leslie is Professor of Medicine and Radiology at the University of Manitoba with 500 peer-reviewed publications. His research interests are in fracture risk assessment, osteoporosis testing and other nuclear diagnostic techniques.
Barret Monchka is a data analyst experienced in working with complex health data. Barret has a Bachelor of Computer Science and is currently completing an MSc in Community Health Sciences at the University of Manitoba.
The University of Alberta Artificial Intelligence (AI) Seminar is a weekly meeting where researchers (including students, developers, and professors) interested in AI can share their current research. Presenters include local speakers from the University of Alberta and industry as well as other institutions. The seminars discuss a wide range of topics related in any way to Artificial Intelligence, from foundational theoretical work to innovative applications of AI techniques to new fields and problems are of interest. Learn more at the AI Seminar website and by subscribing to the mailing list!
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