Neural networks trained with a camouflage detection step show enhanced accuracy and sensitivity in identifying brain tumors from MRI scans, mimicking expert radiologists. Study: Deep learning and ...
Artificial intelligence models are getting better at detecting brain tumors in images from MRIs. More than 150 types of brain tumors have been identified to date; and while not all of them are brain ...
A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence models to distinguish brain tumors from healthy tissue. AI ...
Folate-based radiopharmaceuticals can be used in positron emission tomography (PET) imaging to detect folate receptors in brain tumors. The discovery of folate receptors and their exploitation ...
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