Deep Residual Nets for Improved Alzheimer's Diagnosis
Aly Al-Amyn Valliani, Ameet B. Soni · 2017
We propose a framework that leverages deep residual CNNs pretrained on large, non-biomedical image data sets. These pretrained networks learn cross-domain features that improve low-level interpretation of images. We evaluate our model on brain imaging data and show that pretraining and the use of deep residual networks are crucial to seeing large improvements in Alzheimer's Disease diagnosis from brain MRIs.