Binary classification of ¹⁸F-flutemetamol PET using machine learning: comparison with visual reads and structural MRI.
(18)F-flutemetamol is a positron emission tomography (PET) tracer for in vivo amyloid imaging. The ability to classify amyloid scans in a binary manner as 'normal' versus 'Alzheimer-like', is of high clinical relevance. We evaluated whether a supervised machine learning technique, support vector machines (SVM), can replicate the assignments made by visual readers blind to the clinical diagnosis, which image components have highest diagnostic value according to SVM and how (18)F-flutemetamol-b...Expand abstract
- Publisher copy:
- Pubs id:
- Local pid:
- Deposit date:
- Copyright date:
If you are the owner of this record, you can report an update to it here: Report update to this record