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.
This abstract and the presentation materials are available to members only; a login is required.