Search Results for author:
Found 2 papers, 2 papers with code
Transfer Learning with intelligent training data selection for prediction of Alzheimer's Disease
In this paper, we attempt solving these issues with transfer learning, where the state-of-the-art VGG architecture is initialized with pre-trained weights from large benchmark datasets consisting of natural images.
Towards Alzheimer's Disease Classification through Transfer Learning
Detection of Alzheimer's Disease (AD) from neuroimaging data such as MRI through machine learning have been a subject of intense research in recent years.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
