AI Deep Learning Classifies Brain Tumors from a Brain Scan

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Researchers at the Washington University School of Medicine use artificial intelligence (AI) deep learning to classify common brain tumors with a high degree of accuracy using a single magnetic resonance imaging (MRI) scan. The new peer-reviewed study has been accepted for publication in Radiology: Artificial Intelligence. "To the best of our knowledge, this is the first study to address the most common intracranial tumor-types and directly determine the tumor class as well as detect the absence of tumor from a 3D MR volume," wrote the researchers. Last year there were over 308,000 new cases of brain and nervous systems cancer, and more than 250,000 deaths worldwide according to the Global Cancer Statistics (GLOBOCAN) 2020 report. In the United Kingdom, over 11,000 people are diagnosed with a primary brain tumor annually, according to the National Health Service (NHS).

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