2 papers
eess.IV2020
Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome
Elisa Chotzoglou, Thomas Day, Jeremy Tan +5
Congenital heart disease is considered as one the most common groups of congenital malformations which affects per newborns. In this work, an automated framework for…
cs.LG2019
Automatic Detection of Bowel Disease with Residual Networks
Robert Holland, Uday Patel, Phillip Lung +2
Crohn's disease, one of two inflammatory bowel diseases (IBD), affects 200,000 people in the UK alone, or roughly one in every 500. We explore the feasibility of deep learning algo…