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A team of researchers at Washington University School of Medicine in St. Louis have developed a deep learning model that can classify a brain tumor using a single 3D MRI scan.
Satrajit Chakrabarty, a doctoral student, Aristeidis Sotiras, PhD, assistant professor of radiology and Daniel S. Marcus, PhD, professor of radiology — all members of the Computational Imaging Research Center in the School of Medicine’s Mallinckrodt Institute of Radiology — built their convolutional neural network using a large, multi-institutional dataset of intracranial 3D MRI scans from four publicly available sources.
Read more from the Radiological Society of North America.
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