Deep Learning Essentials

Clinical imaging

Following the success of deep learning models in computer vision, one of the earliest applications of deep learning on clinical data was clinical imaging. More specifically, predicting the onset of Alzheimer's disease using the analysis of brain magnetic resonance imaging scans received widespread attention. CNNs have become popular for performing these tasks.

Recently, Payan and their co-authors (https://arxiv.org/pdf/1502.02506.pdf) have proposed a neuroimaging study for 3D CNNs for predicting Alzheimer's disease. This work differs from its predecessor as it uses two deep learning models to achieve its goal, namely spare autoencoder and 3D convolution network. The following figure, Alzheimer prediction deep learning network, ...