Although machine learning applications for non-medical imaging are well-established, its use in radiologic imaging interpretation remains nascent. We trained a support vector machine using advanced MR imaging to differentiate glioblastoma and brain metastasis with 72.6% balanced accuracy. The ability for machine learning to aid radiologists in differentiating pathologies with similar appearance on conventional imaging appears promising.
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