2 papers
cs.CV2018
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks
Christopher Bowles, Liang Chen, Ricardo Guerrero +7
One of the biggest issues facing the use of machine learning in medical imaging is the lack of availability of large, labelled datasets. The annotation of medical images is not onl…
q-bio.NC2018
Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis
Enrico Pellegrini, Lucia Ballerini, Maria del C. Valdes Hernandez +11
INTRODUCTION: Advanced machine learning methods might help to identify dementia risk from neuroimaging, but their accuracy to date is unclear. METHODS: We systematically reviewed t…