Figure 2
From: Unsupervised abnormality detection in neonatal MRI brain scans using deep learning
Our modeling architecture used a sequence of ResNet blocks. The standard AE implementations do not include the inner variational layer, while the VAE implementations do. It is in this variational layer where we vary our sampling parameters to determine which number of samples optimizes for detecting anomalies.
