Deep learning only by normal brain PET identify unheralded brain anomalies.
Journal:
EBioMedicine
Published Date:
Apr 16, 2019
Abstract
BACKGROUND: Recent deep learning models have shown remarkable accuracy for the diagnostic classification. However, they have limitations in clinical application due to the gap between the training cohorts and real-world data. We aimed to develop a model trained only by normal brain PET data with an unsupervised manner to identify an abnormality in various disorders as imaging data of the clinical routine.