Transfer Learning for Predicting Conversion from Mild Cognitive Impairment to Dementia of Alzheimer Type based on 3D-Convolutional Neural Network
Jinhyeong Bae, Jane K. Stocks, Ashley A. Heywood, Youngmoon Jung, Lisanne Michelle Jenkins, Virginia B. Hill, Aggelos K. Katsaggelos, Karteek Popuri, Howie J. Rosen, Mirza Faisal Beg, Lei Wang
This paper develops a 3D-CNN model using transfer learning to predict conversion from MCI to DAT, achieving 82.4% accuracy and identifying key brain regions associated with disease progression.
Neurobiology of Aging · Mar 1, 2021Peer-reviewedBioinformatics