New York: Researchers at University of California in San Francisco trained a deep learning algorithm on a specific imaging technology FDG-PET. They collected more than 2100 FDG-PET brain images from 1002 patients. Also, they collected 40 imaging exams from 40 patients independently. Results have shown that the algorithm could easily teach itself metabolic patterns corresponding to Alzheimer’s disease.
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