Classification of ¹⁸ F‐flutemetamol scans using machine learning with neuropathology as standard of truth

There is a rising interest in machine learning for classification of images and lesions in medicine. A hurdle is the necessity for enough labeled cases based on an independent standard‐of‐truth. Here we applied linear support vector machine (SVM) to the phase 3 18F‐flutemetamol end‐of‐life study (GE067‐007), where 18F‐flutemetamol PET scans were available in close proximity to the time of autopsy and where brains were characterized in a standardized manner.