Learning Non-Linear Patch Embeddings with Neural Networks for Label Fusion

Segmentation of brain structures from magnetic resonance images (MRI) is an important step in many neuroscience applications, including discovery of morphological biomarkers, monitoring disease progression or diagnosis. For example, segmentation is widely used as basic image quantification step in studies of early brain development (Benkarim et  al., 2017) and dementia (Chupin et al., 2009; Li et al., 2007).

Source: Medical Image Analysis - November 30, 2017 Category: Radiology Authors: Gerard Sanroma, Oualid M. Benkarim, Gemma Piella, Oscar Camara, Guorong Wu, Dinggang Shen, Juan D. Gispert, Jos é Luis Molinuevo, Miguel A. González Ballester, for the Alzheimer’s Disease Neuroimaging Initiative Source Type: research