Title

Deep Residual Nets For Improved Alzheimer’s Diagnosis

Document Type

Conference Proceeding

Publication Date

2017

Published In

Proceedings Of The 8th ACM Conference On Bioinformatics, Computational Biology And Health Informatics

Abstract

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.

Published By

ACM

Conference

8th ACM Conference On Bioinformatics, Computational Biology And Health Informatics

Conference Dates

August 20-23, 2017

Conference Location

Boston, MA